Yoshua Bengio

1. Tackling Climate Change with Machine Learning
   2019/06/10 by David Rolnick, Priya L. Donti, Rolnick, David +48 · 16 voices · 21 citations
   Engineering · Environmental Science · #cs.CY #cs.AI #cs.LG #stat.ML
2. Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
   2023/08/17 by Patrick Butlin, Robert P. Long, Robert Long +38 · 12 voices · 41 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Cognitive Computing and Networks
3. Neural Machine Translation by Jointly Learning to Align and Translate
   2014/09/01 by Dzmitry Bahdanau, Kyunghyun Cho, Bahdanau, Dzmitry +3 · 9 voices · 401 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
4. The Consciousness Prior
   2017/09/25 by Yoshua Bengio, Bengio, Yoshua · 6 voices · 27 citations
   Computer Science · #Machine Learning and Algorithms #Neural Networks and Applications #Topic Modeling #cs.AI #cs.LG #stat.ML
5. Gradient-based learning applied to document recognition
   1998/01/01 by Y. Lecun, Yann LeCun, Léon Bottou +5 · 3119 citations
   Computer Science · #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #Neural Networks and Applications
6. Hyena Hierarchy: Towards Larger Convolutional Language Models
   2023/02/21 by Michael Poli, Stefano Massaroli, Poli, Michael +17 · 6 voices · 54 citations
   Computer Science · #cs.LG #cs.CL
7. Generative Adversarial Networks
   2014/06/10 by Ian Goodfellow, Ian J. Goodfellow, Jean Pouget-Abadie +14 · 7 voices · 104 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Music and Audio Processing #cs.LG #stat.ML
8. Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
   2025/07/15 by Tomek Korbak, Mikita Balesni, Korbak, Tomek +79 · 25 voices · 70 citations
   #cs.AI #cs.LG #stat.ML
9. A Definition of AGI
   2025/10/21 by Dan Hendrycks, Dawn Song, Hendrycks, Dan +65 · 28 voices · 10 citations
   Psychology · Computer Science · #Cognitive Abilities and Testing #Computability, Logic, AI Algorithms #Cognitive Computing and Networks
10. Graph Attention Networks
    2017/10/30 by Petar Veličković, Guillem Cucurull, Veličković, Petar +9 · 2 voices · 825 citations
    #stat.ML #cs.AI #cs.LG #cs.SI
11. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
    2018/09/25 by Zhilin Yang, Yang, Zhilin, Peng Qi +11 · 628 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
12. Representation Learning: A Review and New Perspectives
    2013/05/31 by Yoshua Bengio, Y. Bengio, A. Courville +3 · 517 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition #Neural Networks and Applications
13. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
    2014/06/03 by Kyunghyun Cho, Cho, Kyunghyun, Bart van Merriënboer +11 · 507 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis #Topic Modeling
14. FitNets: Hints for Thin Deep Nets
    2014/12/19 by Adriana Romero, Romero, Adriana, Nicolas Ballas +9 · 1 voice · 119 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.LG #cs.NE
15. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
    2013/08/15 by Yoshua Bengio, Nicholas Léonard, Bengio, Yoshua +3 · 423 citations
    Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Markov Chains and Monte Carlo Methods
16. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
    2015/02/10 by Kelvin Xu, Xu, Kelvin, Jimmy Ba +13 · 1 voice · 58 citations
    #cs.LG #cs.CV
17. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
    2014/12/11 by Jun‐Young Chung, Çağlar Gülçehre, Chung, Junyoung +5 · 462 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis
18. HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
    2023/06/27 by Éric Nguyen, Eric Nguyen, Michael Poli +27 · 3 voices · 60 citations
    Biochemistry, Genetics and Molecular Biology · #RNA and protein synthesis mechanisms #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies
19. BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
    2018/10/18 by Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Chevalier-Boisvert, Maxime +11 · 2 voices · 39 citations
    Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling #cs.AI #cs.CL
20. Were RNNs All We Needed?
    2024/10/02 by Leo Feng, Frederick Tung, Feng, Leo +8 · 9 voices · 10 citations
    Nursing · #Nursing Education, Practice, and Leadership #cs.AI #cs.LG
21. Scaling Latent Reasoning via Looped Language Models
    2025/10/29 by Rui-Jie Zhu, Zhu, Rui-Jie, Zixuan Wang +63 · 14 voices · 21 citations
    #cs.CL
22. BinaryConnect: Training Deep Neural Networks with binary weights during propagations
    2015/11/01 by Matthieu Courbariaux, Yoshua Bengio, Courbariaux, Matthieu +4 · 1 voice · 126 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #cs.CV #cs.LG #cs.NE
23. On the difficulty of training Recurrent Neural Networks
    2012/11/21 by Razvan Pascanu, Pascanu, Razvan, Tomáš Mikolov +3 · 267 citations
    Computer Science · Physics and Astronomy · #Neural Networks and Applications #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning
24. Representation Learning: A Review and New Perspectives
    2012/06/24 by Yoshua Bengio, Aaron Courville, Bengio, Yoshua +3 · 217 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition #Neural Networks and Applications
25. Deep Graph Infomax
    2018/09/27 by Petar Veličković, William Fedus, Veličković, Petar +10 · 1 voice · 77 citations
    Computer Science · Mathematics · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Social and Information Networks (cs.SI) #cs.IT #cs.LG #cs.SI #stat.ML
26. Toward Causal Representation Learning
    2021/02/26 by Bernhard Scholkopf, Bernhard Schölkopf, Francesco Locatello +5 · 167 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #AI-based Problem Solving and Planning
27. Understanding intermediate layers using linear classifier probes
    2016/10/05 by Guillaume Alain, Alain, Guillaume, Yoshua Bengio +1 · 156 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
28. A Deep Reinforcement Learning Chatbot
    2017/09/07 by Iulian V. Serban, Iulian Vlad Serban, Chinnadhurai Sankar +37 · 1 voice · 12 citations
    Computer Science · #Topic Modeling #Speech and dialogue systems #Mobile Crowdsensing and Crowdsourcing
29. Neural Networks with Few Multiplications
    2015/10/11 by Zhouhan Lin, Lin, Zhouhan, Matthieu Courbariaux +5 · 2 voices · 3 citations
    #cs.LG #cs.NE
30. On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
    2014/09/03 by Kyunghyun Cho, Cho, Kyunghyun, Bart van Merriënboer +5 · 163 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Handwritten Text Recognition Techniques
31. Inductive Biases for Deep Learning of Higher-Level Cognition
    2020/11/30 by Anirudh Goyal, Yoshua Bengio, Goyal, Anirudh +1 · 2 voices · 19 citations
    Computer Science · Mathematics · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #cs.AI #cs.LG #stat.ML
32. Generalization in Deep Learning
    2017/10/16 by Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio · 1 voice · 6 citations
    Computer Science · #Computability, Logic, AI Algorithms #Neural Networks and Applications
33. Measuring the tendency of CNNs to Learn Surface Statistical Regularities
    2017/11/30 by Jason Jo, Jo, Jason, Yoshua Bengio +1 · 2 voices · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #cs.LG #stat.ML
34. Improving and generalizing flow-based generative models with minibatch optimal transport
    2023/02/01 by Alexander Tong, Kilian Fatras, Tong, Alexander +13 · 196 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Model Reduction and Neural Networks
35. Learning deep representations by mutual information estimation and maximization
    2018/08/20 by R Devon Hjelm, Hjelm, R Devon, Alex Fedorov +11 · 159 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
36. Generative adversarial networks
    2020/10/22 by Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5 · 101 citations
    Computer Science · #Computational Physics and Python Applications #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis
37. Machine learning and information theory concepts towards an AI Mathematician
    2024/03/07 by Yoshua Bengio, Bengio, Yoshua, Nikolay Malkin +1 · 4 voices · 3 citations
    Computer Science · #Neural Networks and Applications
38. N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
    2019/05/24 by Boris N. Oreshkin, Oreshkin, Boris N., Dmitri Carpov +5 · 112 citations
    Decision Sciences · Computer Science · #Forecasting Techniques and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
39. NICE: Non-linear Independent Components Estimation
    2014/10/30 by Laurent Dinh, Dinh, Laurent, David Krueger +3 · 85 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
40. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
    2016/09/22 by Itay Hubara, Hubara, Itay, Matthieu Courbariaux +7 · 102 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
41. An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
    2013/12/21 by Ian Goodfellow, Goodfellow, Ian J., Mehdi Mirza +7 · 73 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
42. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
    2020/04/15 by Miles Brundage, Brundage, Miles, Shahar Avin +115 · 2 voices · 22 citations
    #cs.CY
43. Towards Biologically Plausible Deep Learning
    2015/02/14 by Yoshua Bengio, Bengio, Yoshua, Dong-Hyun Lee +8 · 1 voice · 25 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Cell Image Analysis Techniques #Neural Networks and Applications #Neural dynamics and brain function #cs.LG
44. A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
    2019/01/30 by Yoshua Bengio, Tristan Deleu, Bengio, Yoshua +13 · 2 voices · 10 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.LG #stat.ML
45. Machine Learning for Combinatorial Optimization: a Methodological Tour\n d'Horizon
    2018/11/14 by Yoshua Bengio, Bengio, Yoshua, Andrea Lodi +3 · 74 citations
    Computer Science · Engineering · #Advanced Database Systems and Queries #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scheduling and Optimization Algorithms
46. A Closer Look at Memorization in Deep Networks
    2017/06/16 by Devansh Arpit, Arpit, Devansh, Stanisław Jastrzȩbski +19 · 79 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
47. Machine learning for combinatorial optimization: A methodological tour d’horizon
    2020/08/08 by Yoshua Bengio, Andrea Lodi, Antoine Prouvost · 96 citations
    Computer Science · Engineering · #AI-based Problem Solving and Planning #Constraint Satisfaction and Optimization #Machine Learning and Algorithms #Metaheuristic Optimization Algorithms Research #Scheduling and Optimization Algorithms
48. A Structured Self-attentive Sentence Embedding
    2017/03/09 by Zhouhan Lin, Minwei Feng, Lin, Zhouhan +11 · 97 citations
    Computer Science · #Topic Modeling #Sentiment Analysis and Opinion Mining #Advanced Text Analysis Techniques
49. A Recurrent Latent Variable Model for Sequential Data
    2015/06/07 by Jun‐Young Chung, Kyle Kastner, Chung, Junyoung +9 · 72 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Neural Networks and Applications
50. An Empirical Study of Example Forgetting during Deep Neural Network Learning
    2018/12/12 by Mariya Toneva, Alessandro Sordoni, Toneva, Mariya +9 · 68 citations
    Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
51. Three Factors Influencing Minima in SGD
    2017/11/13 by Stanisław Jastrzȩbski, Zachary Kenton, Jastrzębski, Stanisław +11 · 77 citations
    Biochemistry, Genetics and Molecular Biology · #Sexual Differentiation and Disorders
52. MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
    2019/10/08 by Kundan Kumar, Rithesh Kumar, Kumar, Kundan +15 · 90 citations
    Computer Science · #Speech and Audio Processing #Music and Audio Processing #Speech Recognition and Synthesis
53. Scientific discovery in the age of artificial intelligence
    2023/08/02 by Hanchen Wang, Tianfan Fu, Yuanqi Du +32 · 102 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Cell Image Analysis Techniques #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Materials Science
54. Sharp Minima Can Generalize For Deep Nets
    2017/03/15 by Laurent Dinh, Dinh, Laurent, Razvan Pascanu +5 · 53 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
55. FigureQA: An Annotated Figure Dataset for Visual Reasoning
    2017/10/19 by Samira Ebrahimi Kahou, Kahou, Samira Ebrahimi, Vincent Michalski +9 · 47 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
56. Unitary Evolution Recurrent Neural Networks
    2015/11/20 by Martín Arjovsky, Amar Shah, Arjovsky, Martin +3 · 48 citations
    Computer Science · #Neural Networks and Applications #Topic Modeling #Machine Learning and ELM
57. Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
    2021/06/08 by Emmanuel Bengio, Moksh Jain, Bengio, Emmanuel +7 · 53 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Machine Learning and Algorithms #Topic Modeling
58. Equilibrium Propagation: Bridging the Gap Between Energy-Based Models\n and Backpropagation
    2016/02/16 by Benjamin Scellier, Scellier, Benjamin, Yoshua Bengio +1 · 35 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural dynamics and brain function
59. SpeechBrain: A General-Purpose Speech Toolkit
    2021/06/08 by Mirco Ravanelli, Titouan Parcollet, Ravanelli, Mirco +39 · 49 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
60. Challenges in Representation Learning: A report on three machine\n learning contests
    2013/07/01 by Ian Goodfellow, Goodfellow, Ian J., Dumitru Erhan +55 · 31 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
61. A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
    2023/12/12 by Alexandre Duval, Simon V. Mathis, Duval, Alexandre +19 · 2 voices · 15 citations
    Materials Science · Physics and Astronomy · #Nuclear Physics and Applications #X-ray Diffraction in Crystallography #cs.AI #cs.LG #q-bio.QM #stat.ML
62. Towards Causal Representation Learning
    2021/02/22 by Bernhard Schölkopf, Schölkopf, Bernhard, Francesco Locatello +11 · 2 voices · 13 citations
    Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
63. Theano: new features and speed improvements
    2012/11/23 by Frédéric Bastien, Pascal Lamblin, Bastien, Frédéric +15 · 44 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Methods and Algorithms #Parallel Computing and Optimization Techniques #Symbolic Computation (cs.SC)
64. Wasserstein Dependency Measure for Representation Learning
    2019/03/28 by Sherjil Ozair, Ozair, Sherjil, Corey Lynch +9 · 1 voice · 9 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
65. Deep Complex Networks
    2017/05/27 by Chiheb Trabelsi, Olexa Bilaniuk, Trabelsi, Chiheb +17 · 23 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis #Speech and Audio Processing
66. On the number of response regions of deep feed forward networks with\n piece-wise linear activations
    2013/12/20 by Razvan Pascanu, Guido Montúfar, Pascanu, Razvan +3 · 25 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Ferroelectric and Negative Capacitance Devices
67. Trajectory balance: Improved credit assignment in GFlowNets
    2022/01/31 by Nikolay Malkin, Moksh Jain, Malkin, Nikolay +7 · 34 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
68. GFlowNet Foundations
    2021/11/17 by Yoshua Bengio, Bengio, Yoshua, Salem Lahlou +9 · 33 citations
    Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Data Stream Mining Techniques
69. Mode Regularized Generative Adversarial Networks
    2016/12/07 by Tong Che, Che, Tong, Yanran Li +7 · 39 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Music and Audio Processing
70. Attention-Based Models for Speech Recognition
    2015/06/24 by Jan Chorowski, Dzmitry Bahdanau, Chorowski, Jan +7 · 21 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis
71. Revisiting Natural Gradient for Deep Networks
    2013/01/16 by Razvan Pascanu, Pascanu, Razvan, Yoshua Bengio +1 · 19 citations
    Computer Science · #Stochastic Gradient Optimization Techniques
72. Generalized Denoising Auto-Encoders as Generative Models
    2013/05/29 by Yoshua Bengio, Li Yao, Bengio, Yoshua +5 · 20 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
73. Coordination Among Neural Modules Through a Shared Global Workspace
    2021/03/01 by Anirudh Goyal, Aniket Didolkar, Goyal, Anirudh +19 · 1 voice · 10 citations
    Computer Science · Engineering · Mathematics · #Ferroelectric and Negative Capacitance Devices #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.LG #stat.ML
74. Hierarchical Multiscale Recurrent Neural Networks
    2016/09/06 by Jun‐Young Chung, Chung, Junyoung, Sungjin Ahn +3 · 31 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
75. Imagining and building wise machines: The centrality of AI metacognition
    2024/11/04 by Samuel G. B. Johnson, Amir-Hossein Karimi, Johnson, Samuel G. B. +19 · 10 voices · 4 citations
    Computer Science · #Reinforcement Learning in Robotics #cs.AI #cs.CY #cs.HC
76. Variance Reduction in SGD by Distributed Importance Sampling
    2015/11/20 by Guillaume Alain, Alain, Guillaume, Alex Lamb +7 · 19 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
77. Generating Factoid Questions With Recurrent Neural Networks: The 30M\n Factoid Question-Answer Corpus
    2016/03/22 by Iulian Vlad Serban, Serban, Iulian Vlad, Alberto García-Durán +12 · 1 voice · 1 citation
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG #cs.NE
78. Memory Augmented Neural Networks with Wormhole Connections
    2017/01/30 by Caglar Gulcehre, Çağlar Gülçehre, Gulcehre, Caglar +4 · 1 voice · 10 citations
    Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications #Topic Modeling #cs.LG #cs.NE #stat.ML
79. How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
    2014/07/29 by Yoshua Bengio, Bengio, Yoshua · 16 citations
    Business, Management and Accounting · Computer Science · #FOS: Computer and information sciences #Financial Distress and Bankruptcy Prediction #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare
80. Dendritic cortical microcircuits approximate the backpropagation\n algorithm
    2018/10/26 by João Sacramento, Sacramento, João, Rui Ponte Costa +5 · 15 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neural Engineering
81. Gradient Starvation: A Learning Proclivity in Neural Networks
    2020/11/18 by Mohammad Pezeshki, Pezeshki, Mohammad, Sékou-Oumar Kaba +9 · 22 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning
82. ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
    2015/05/03 by Francesco Visin, Visin, Francesco, Kyle Kastner +9 · 1 voice · 3 citations
    Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #cs.CV
83. Revisiting Fundamentals of Experience Replay
    2020/07/13 by William Fedus, Prajit Ramachandran, Fedus, William +11 · 18 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Energy Management
84. What Regularized Auto-Encoders Learn from the Data Generating Distribution
    2012/11/18 by Guillaume Alain, Yoshua Bengio, Alain, Guillaume +1 · 13 citations
    Computer Science · Physics and Astronomy · Engineering · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Lattice Boltzmann Simulation Studies
85. Estimating or Propagating Gradients Through Stochastic Neurons
    2013/05/14 by Yoshua Bengio, Bengio, Yoshua · 16 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques #Neural Networks and Applications
86. Bayesian Model-Agnostic Meta-Learning
    2018/06/11 by Taesup Kim, Jaesik Yoon, Kim, Taesup +9 · 15 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
87. An Actor-Critic Algorithm for Sequence Prediction
    2016/07/24 by Dzmitry Bahdanau, Philémon Brakel, Bahdanau, Dzmitry +13 · 16 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
88. Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
    2019/05/02 by Victor Schmidt, Alexandra Luccioni, Schmidt, Victor +11 · 1 voice · 1 citation
    #cs.CV #cs.AI
89. Equivariance with Learned Canonicalization Functions
    2022/11/11 by Sékou-Oumar Kaba, Arnab Kumar Mondal, Kaba, Sékou-Oumar +7 · 18 citations
    Materials Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Morphological variations and asymmetry
90. Biological Sequence Design with GFlowNets
    2022/03/02 by Moksh Jain, Jain, Moksh, Emmanuel Bengio +22 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #vaccines and immunoinformatics approaches #Computational Drug Discovery Methods #RNA and protein synthesis mechanisms
91. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
    2022/10/15 by Anthony M. Zador, Zador, Anthony, G. Sean Escola +51 · 15 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
92. Model evaluation for extreme risks
    2023/05/24 by Toby Shevlane, Shevlane, Toby, Sebastian Farquhar +39 · 17 citations
    Computer Science · #Software Engineering Research #Software Reliability and Analysis Research #Information and Cyber Security
93. Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
    2021/06/11 by Kartik Ahuja, Ethan Caballero, Ahuja, Kartik +11 · 12 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
94. Deep Generative Stochastic Networks Trainable by Backprop
    2013/06/05 by Yoshua Bengio, Eric Laufer, Bengio, Yoshua +5 · 11 citations
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning in Healthcare
95. The Causal-Neural Connection: Expressiveness, Learnability, and Inference
    2021/07/01 by Kevin Xia, Kai-Zhan Lee, Xia, Kevin +5 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
96. GMNN: Graph Markov Neural Networks
    2019/05/15 by Meng Qu, Yoshua Bengio, Qu, Meng +3 · 21 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
97. Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
    2024/02/09 by Tara Akhound-Sadegh, Jarrid Rector-Brooks, Akhound-Sadegh, Tara +21 · 20 citations
    Computer Science · Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
98. Quaternion Recurrent Neural Networks
    2018/06/12 by Titouan Parcollet, Parcollet, Titouan, Mirco Ravanelli +11 · 14 citations
    Computer Science · Physics and Astronomy · #Neural Networks and Applications #Model Reduction and Neural Networks #Music and Audio Processing
99. Recurrent Independent Mechanisms
    2019/09/24 by Anirudh Goyal, Alex Lamb, Goyal, Anirudh +11 · 15 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics
100. Bayesian Structure Learning with Generative Flow Networks
     2022/02/28 by Tristan Deleu, António Góis, Deleu, Tristan +10 · 13 citations
     Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
101. Unsupervised State Representation Learning in Atari
     2019/06/19 by Ankesh Anand, Anand, Ankesh, Evan Racah +9 · 9 citations
     Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
102. RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
     2020/10/08 by Meng Qu, Qu, Meng, Junkun Chen +7 · 10 citations
     Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Topic Modeling
103. Learning GFlowNets from partial episodes for improved convergence and stability
     2022/09/26 by Kanika Madan, Madan, Kanika, Jarrid Rector-Brooks +15 · 13 citations
     Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
104. Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
     2018/09/28 by Ali Farshchiansadegh, Juan Álvaro Gallego, Farshchian, Ali +9 · 9 citations
     Neuroscience · Medicine · #EEG and Brain-Computer Interfaces #Neonatal and fetal brain pathology #Neural dynamics and brain function
105. Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
     2024/05/10 by David "davidad" Dalrymple, Dalrymple, David "davidad", Joar Skalse +31 · 3 voices · 11 citations
     Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
106. Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing\n its Gradient Estimator Bias
     2020/06/06 by Axel Laborieux, Maxence Ernoult, Laborieux, Axel +9 · 9 citations
     Neuroscience · Engineering · Computer Science · #Neural dynamics and brain function #Advanced Memory and Neural Computing #Domain Adaptation and Few-Shot Learning
107. Amortizing intractable inference in large language models
     2023/10/06 by Edward J. Hu, J. Edward Hu, Hu, Edward J. +12 · 1 voice · 13 citations
     Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Computational and Text Analysis Methods
108. On the saddle point problem for non-convex optimization
     2014/05/19 by Razvan Pascanu, Yann Dauphin, Pascanu, Razvan +5 · 10 citations
     Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Gaussian Processes and Bayesian Inference
109. DEUP: Direct Epistemic Uncertainty Prediction
     2021/02/16 by Salem Lahlou, Lahlou, Salem, Moksh Jain +13 · 10 citations
     Computer Science · Decision Sciences · #Machine Learning and Algorithms #Machine Learning and Data Classification #Advanced Bandit Algorithms Research
110. Noisy Activation Functions
     2016/03/01 by Çağlar Gülçehre, Gulcehre, Caglar, Marcin Moczulski +5 · 11 citations
     Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
111. Residual Connections Encourage Iterative Inference
     2017/10/13 by Stanisław Jastrzȩbski, Jastrzębski, Stanisław, Devansh Arpit +9 · 9 citations
     Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
112. Generative Recursive Reasoning
     2026/05/19 by Junyeob Baek, Mingyu Jo, Minsu Kim +3 · 4 voices · 1 citation
     #cs.AI
113. HeMIS: Hetero-Modal Image Segmentation
     2016/07/18 by Mohammad Havaei, Havaei, Mohammad, Nicolas Guizard +5 · 6 citations
     Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Medical Image Segmentation Techniques
114. Generative Flow Networks for Discrete Probabilistic Modeling
     2022/02/03 by Dinghuai Zhang, Nikolay Malkin, Zhang, Dinghuai +9 · 10 citations
     Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
115. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
     2016/11/28 by Simon Jégou, Michal Drozdzal, Jégou, Simon +7 · 6 citations
     Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Video Surveillance and Tracking Methods
116. FAENet: Frame Averaging Equivariant GNN for Materials Modeling
     2023/04/28 by Alexandre Duval, Victor Schmidt, Duval, Alexandre +10 · 12 citations
     Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
117. Chunked Autoregressive GAN for Conditional Waveform Synthesis
     2021/10/19 by Max Morrison, Rithesh Kumar, Morrison, Max +9 · 8 citations
     Computer Science · #Music and Audio Processing #Music Technology and Sound Studies #Speech and Audio Processing
118. Architectural Complexity Measures of Recurrent Neural Networks
     2016/02/26 by Saizheng Zhang, Zhang, Saizheng, Yuhuai Wu +11 · 9 citations
     Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Neural Networks and Applications #Ferroelectric and Negative Capacitance Devices
119. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
     2017/02/26 by Tong Che, Yanran Li, Che, Tong +11 · 9 citations
     Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
120. Multi-Objective GFlowNets
     2022/10/23 by Moksh Jain, Jain, Moksh, Sharath Chandra Raparthy +11 · 9 citations
     Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Process Optimization and Integration
121. Self-Evolving Curriculum for LLM Reasoning
     2025/05/20 by Xiaoyin Chen, Chen, Xiaoyin, James J. Lu +15 · 29 citations
     Computer Science · #Digital Rights Management and Security #Open Education and E-Learning #Information Systems Education and Curriculum Development
122. Better Training of GFlowNets with Local Credit and Incomplete Trajectories
     2023/02/03 by Ling Pan, Nikolay Malkin, Pan, Ling +5 · 10 citations
     Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
123. Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
     2019/06/25 by Anirudh Goyal, Goyal, Anirudh, Shagun Sodhani +9 · 8 citations
     Computer Science · Engineering · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Elevator Systems and Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
124. Learning diverse attacks on large language models for robust red-teaming and safety tuning
     2024/05/28 by Seanie Lee, Minsu Kim, Lee, Seanie +19 · 14 citations
     Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Topic Modeling #Web Application Security Vulnerabilities
125. From Machine Learning to Robotics: Challenges and Opportunities for\n Embodied Intelligence
     2021/10/28 by Nicholas Roy, Roy, Nicholas, Ingmar Posner +38 · 7 citations
     Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
126. AI-Assisted Generation of Difficult Math Questions
     2024/07/30 by Vedant Shah, Dingli Yu, Shah, Vedant +20 · 3 voices · 10 citations
     Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #cs.AI #cs.LG
127. On the interplay between noise and curvature and its effect on\n optimization and generalization
     2019/06/18 by Valentin Thomas, Thomas, Valentin, Fabián Pedregosa +9 · 6 citations
     Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Face and Expression Recognition
128. Independently Controllable Features
     2017/03/22 by Emmanuel Bengio, Bengio, Emmanuel, Valentin Thomas +7 · 9 citations
     Computer Science · #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Neural Networks and Applications
129. A Deep Reinforcement Learning Chatbot (Short Version)
     2018/01/20 by Iulian V. Serban, Chinnadhurai Sankar, Serban, Iulian V. +33 · 1 voice
     #cs.CL #cs.AI #cs.LG #cs.NE #stat.ML
130. Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
     2019/05/31 by Maxence Ernoult, Julie Grollier, Ernoult, Maxence +7 · 5 citations
     Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE)
131. On Using Very Large Target Vocabulary for Neural Machine Translation
     2014/12/05 by Sébastien Jean, Kyunghyun Cho, Jean, Sébastien +5 · 4 citations
     Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
132. RGFN: Synthesizable Molecular Generation Using GFlowNets
     2024/06/01 by Michał Koziarski, Andrei Rekesh, Koziarski, Michał +15 · 12 citations
     Materials Science · Computer Science · Engineering · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Innovative Microfluidic and Catalytic Techniques Innovation
133. Big Neural Networks Waste Capacity
     2013/01/16 by Yann Dauphin, Yoshua Bengio, Dauphin, Yann N. +1 · 5 citations
     Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
134. International AI Safety Report
     2025/01/29 by Yoshua Bengio, Bengio, Yoshua, Sören Mindermann +180 · 18 citations
     Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
135. Towards Scaling Difference Target Propagation by Learning Backprop Targets
     2022/01/31 by Maxence Ernoult, Ernoult, Maxence, Fabrice Normandin +13 · 6 citations
     Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
136. Amortizing intractable inference in diffusion models for vision, language, and control
     2024/05/31 by Siddarth Venkatraman, Moksh Jain, Venkatraman, Siddarth +27 · 12 citations
     Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
137. Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
     2013/11/07 by Çağlar Gülçehre, Gulcehre, Caglar, Kyunghyun Cho +5 · 4 citations
     Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
138. An End-to-End Framework for Molecular Conformation Generation via\n Bilevel Programming
     2021/01/01 by Minkai Xu, Wujie Wang, Xu, Minkai +11 · 5 citations
     Chemistry · Computer Science · Engineering · Materials Science · Mathematics · #Advanced Optimization Algorithms Research #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Mathematical Biology Tumor Growth #Metal-Organic Frameworks: Synthesis and Applications #Process Optimization and Integration
139. Iterative Neural Autoregressive Distribution Estimator (NADE-k)
     2014/06/05 by Tapani Raiko, Raiko, Tapani, Li Yao +5 · 7 citations
     Computer Science · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Domain Adaptation and Few-Shot Learning
140. Learning Neural Generative Dynamics for Molecular Conformation Generation
     2021/02/20 by Minkai Xu, Shitong Luo, Xu, Minkai +7 · 5 citations
     Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
141. Ant Colony Sampling with GFlowNets for Combinatorial Optimization
     2024/03/11 by Minsu Kim, Kim, Minsu, Sanghyeok Choi +9 · 10 citations
     Computer Science · Engineering · #BIM and Construction Integration #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Optimization and Packing Problems
142. Learning To Navigate The Synthetically Accessible Chemical Space Using\n Reinforcement Learning
     2020/04/26 by Sai Krishna Gottipati, Boris Sattarov, Gottipati, Sai Krishna +21 · 5 citations
     Computer Science · Engineering · Materials Science · #Artificial Intelligence (cs.AI) #BIM and Construction Integration #Computational Drug Discovery Methods #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning in Materials Science
143. Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
     2019/01/22 by Sarath Chandar, Chandar, Sarath, Chinnadhurai Sankar +7 · 6 citations
     Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Parallel Computing and Optimization Techniques #Topic Modeling
144. Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes
     2016/06/30 by Çağlar Gülçehre, Gulcehre, Caglar, Sarath Chandar +5 · 7 citations
     Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural and Evolutionary Computing (cs.NE)
145. Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
     2023/10/04 by Dinghuai Zhang, Zhang, Dinghuai, Ricky T. Q. Chen +7 · 7 citations
     Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Gaussian Processes and Bayesian Inference
146. Learning Independent Features with Adversarial Nets for Non-linear ICA
     2017/10/13 by Philémon Brakel, Brakel, Philemon, Yoshua Bengio +1 · 5 citations
     Chemistry · Computer Science · #Blind Source Separation Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (stat.ML) #Spectroscopy and Chemometric Analyses
147. Structure Language Models for Protein Conformation Generation
     2024/10/24 by Jiarui Lu, Lu, Jiarui, Xiaoyin Chen +11 · 1 voice · 7 citations
     Computer Science · #Software Engineering Research
148. Adding noise to the input of a model trained with a regularized objective
     2011/04/16 by Salah Rifai, Xavier Glorot, Rifai, Salah +5 · 4 citations
     Computer Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks
149. Early Inference in Energy-Based Models Approximates Back-Propagation
     2015/10/09 by Yoshua Bengio, Asja Fischer, Bengio, Yoshua +1 · 5 citations
     Neuroscience · Engineering · #Neural dynamics and brain function #Advanced Memory and Neural Computing #Functional Brain Connectivity Studies
150. A theory of continuous generative flow networks
     2023/01/30 by Salem Lahlou, Tristan Deleu, Lahlou, Salem +15 · 7 citations
     Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
151. Divergent Creativity in Humans and Large Language Models
     2024/05/13 by Antoine Bellemare-Pepin, Bellemare-Pepin, Antoine, François Lespinasse +13 · 7 citations
     Psychology · #Creativity in Education and Neuroscience
152. Quaternion Convolutional Neural Networks for End-to-End Automatic Speech\n Recognition
     2018/06/20 by Titouan Parcollet, Ying Zhang, Parcollet, Titouan +11 · 3 citations
     Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Neural Networks and Applications #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
153. A Semantic Matching Energy Function for Learning with Multi-relational\n Data
     2013/01/15 by Xavier Glorot, Antoine Bordes, Glorot, Xavier +5 · 3 citations
     Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Machine Learning in Bioinformatics
154. CLOSURE: Assessing Systematic Generalization of CLEVR Models
     2019/12/12 by Dzmitry Bahdanau, Bahdanau, Dzmitry, Harm de Vries +11 · 4 citations
     Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
155. Denoising Criterion for Variational Auto-Encoding Framework
     2015/11/19 by Daniel Im Jiwoong Im, Im, Daniel Jiwoong, Sungjin Ahn +5 · 3 citations
     Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Model Reduction and Neural Networks
156. Advances in Optimizing Recurrent Networks
     2012/12/04 by Yoshua Bengio, Bengio, Yoshua, Nicolas Boulanger-Lewandowski +3 · 3 citations
     Computer Science · #Music and Audio Processing #Neural Networks and Applications #Computational Physics and Python Applications
157. Generalization of Equilibrium Propagation to Vector Field Dynamics
     2018/08/14 by Benjamin Scellier, Anirudh Goyal, Scellier, Benjamin +7 · 5 citations
     Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function
158. Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
     2019/10/21 by Shawn Tan, Tan, Shawn, Guillaume Androz +11 · 3 citations
     Medicine · #ECG Monitoring and Analysis #Cardiac electrophysiology and arrhythmias #Phonocardiography and Auscultation Techniques
159. Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future
     2019/03/05 by Nan Rosemary Ke, Amanpreet Singh, Ke, Nan Rosemary +10 · 5 citations
     Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
160. Small-GAN: Speeding Up GAN Training Using Core-sets
     2019/10/29 by Samarth Sinha, Sinha, Samarth, Han Zhang +9 · 5 citations
     Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications #Human Pose and Action Recognition
161. Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
     2024/12/10 by Zhen Liu, Tim Z. Xiao, Liu, Zhen +7 · 10 citations
     Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
162. Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
     2022/11/04 by Mizu Nishikawa-Toomey, Nishikawa-Toomey, Mizu, Tristan Deleu +7 · 4 citations
     Computer Science · Environmental Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG) #Machine Learning (stat.ML)
163. VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text
     2024/06/10 by Tianyu Zhang, Zhang, Tianyu, Suyuchen Wang +15 · 7 citations
     Arts and Humanities · Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Subtitles and Audiovisual Media #Video Analysis and Summarization
164. DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
     2023/02/08 by Lazar Atanackovic, Alexander Tong, Atanackovic, Lazar +9 · 5 citations
     Biochemistry, Genetics and Molecular Biology · Decision Sciences · Computer Science · #Gene Regulatory Network Analysis #Probabilistic and Robust Engineering Design #Machine Learning and Algorithms
165. Computing Power and the Governance of Artificial Intelligence
     2024/02/13 by Girish Sastry, Lennart Heim, Sastry, Girish +35 · 5 citations
     Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
166. Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
     2021/06/14 by Yashas Annadani, Jonas Rothfuss, Annadani, Yashas +11 · 4 citations
     Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
167. Overcoming the Curse of Sentence Length for Neural Machine Translation\n using Automatic Segmentation
     2014/09/03 by Jean Pouget-Abadie, Pouget-Abadie, Jean, Dzmitry Bahdanau +7 · 2 citations
     Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
168. A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion
     2015/07/08 by Alessandro Sordoni, Sordoni, Alessandro, Yoshua Bengio +9 · 2 citations
     Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Neural and Evolutionary Computing (cs.NE) #Topic Modeling #Web Data Mining and Analysis
169. Learning to Compute Word Embeddings On the Fly
     2017/06/01 by Dzmitry Bahdanau, Bahdanau, Dzmitry, Tom Bosc +9 · 4 citations
     Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
170. GFlowOut: Dropout with Generative Flow Networks
     2022/10/24 by Dianbo Liu, Moksh Jain, Liu, Dianbo +23 · 4 citations
     Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
171. Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
     2023/10/28 by Stefano Massaroli, Massaroli, Stefano, Michael Poli +23 · 5 citations
     Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Topic Modeling #electronic engineering #information engineering
172. Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition
     2017/07/19 by Taesup Kim, Inchul Song, Kim, Taesup +3 · 2 citations
     Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Speech Recognition and Synthesis #Speech and Audio Processing
173. Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
     2023/05/26 by Dinghuai Zhang, Hanjun Dai, Zhang, Dinghuai +9 · 4 citations
     Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Data Quality and Management
174. Trajectory Flow Matching with Applications to Clinical Time Series Modeling
     2024/10/28 by Xi Zhang, Zhang, Xi, Pu Yuan +14 · 1 voice · 5 citations
     Computer Science · #Machine Learning in Healthcare #Time Series Analysis and Forecasting #cs.AI #cs.LG #stat.ML
175. Image-to-image translation for cross-domain disentanglement
     2018/05/24 by Abel González-García, Joost van de Weijer, Gonzalez-Garcia, Abel +3 · 2 citations
     Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
176. The Singapore Consensus on Global AI Safety Research Priorities
     2025/06/25 by Yoshua Bengio, Bengio, Yoshua, Tegan Maharaj +171 · 2 voices · 8 citations
     Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.AI #cs.CY
177. Non-normal Recurrent Neural Network (nnRNN): learning long time\n dependencies while improving expressivity with transient dynamics
     2019/05/28 by Giancarlo Kerg, Kerg, Giancarlo, Kyle Goyette +11 · 2 citations
     Computer Science · Neuroscience · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
178. Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
     2023/05/30 by Tristan Deleu, Deleu, Tristan, Mizu Nishikawa-Toomey +9 · 4 citations
     Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
179. On Catastrophic Interference in Atari 2600 Games
     2020/02/28 by William Fedus, Dibya Ghosh, Fedus, William +9 · 1 voice
     #cs.LG #cs.AI #stat.ML
180. Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
     2022/10/04 by Dianbo Liu, Vedant Shah, Liu, Dianbo +15 · 3 citations
     Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
181. Discrete Probabilistic Inference as Control in Multi-path Environments
     2024/02/15 by Tristan Deleu, Padideh Nouri, Deleu, Tristan +7 · 5 citations
     Computer Science · #Advanced Database Systems and Queries #FOS: Computer and information sciences #Machine Learning (cs.LG)
182. Equilibrium Propagation with Continual Weight Updates
     2020/04/29 by Maxence Ernoult, Ernoult, Maxence, Julie Grollier +7 · 2 citations
     Biochemistry, Genetics and Molecular Biology · Computer Science · #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
183. CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and\n Transfer Learning
     2020/10/08 by Ossama Ahmed, Ahmed, Ossama, Frederik Träuble +13 · 2 citations
     Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
184. A Complexity-Based Theory of Compositionality
     2024/10/18 by Eric Elmoznino, Thomas Jiralerspong, Elmoznino, Eric +5 · 1 voice · 4 citations
     Chemistry · #History and advancements in chemistry
185. Boundary-Seeking Generative Adversarial Networks
     2017/02/27 by R Devon Hjelm, Hjelm, R Devon, Athul Paul Jacob +9 · 4 citations
     Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
186. Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
     2018/09/11 by Nan Rosemary Ke, Anirudh Goyal, Ke, Nan Rosemary +11 · 2 citations
     Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
187. Stochastic Generative Flow Networks
     2023/02/19 by Ling Pan, Pan, Ling, Dinghuai Zhang +7 · 3 citations
     Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
188. Maximum Entropy Generators for Energy-Based Models
     2019/01/24 by Rithesh Kumar, Kumar, Rithesh, Ozair, Sherjil +6 · 2 citations
     Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
189. Learning Neural Causal Models with Active Interventions
     2021/09/06 by Nino Scherrer, Olexa Bilaniuk, Scherrer, Nino +17 · 2 citations
     Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
190. PhyloGFN: Phylogenetic inference with generative flow networks
     2023/10/12 by Mingyang Zhou, Zhou, Mingyang, Zichao Yan +13 · 3 citations
     Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #FOS: Biological sciences #FOS: Computer and information sciences #Genetic diversity and population structure #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Populations and Evolution (q-bio.PE)
191. HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
     2024/10/02 by Seanie Lee, Lee, Seanie, Dong Bok Lee +13 · 5 citations
     Computer Science · Decision Sciences · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Risk and Safety Analysis #Safety Systems Engineering in Autonomy #Software Reliability and Analysis Research
192. Generative Augmented Flow Networks
     2022/10/07 by Ling Pan, Dinghuai Zhang, Pan, Ling +7 · 3 citations
     Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Reinforcement Learning in Robotics
193. Latent State Marginalization as a Low-cost Approach for Improving Exploration
     2022/10/03 by Dinghuai Zhang, Aaron Courville, Zhang, Dinghuai +9 · 3 citations
     Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
194. FL Games: A federated learning framework for distribution shifts
     2022/05/23 by Sharut Gupta, Gupta, Sharut, Kartik Ahuja +7 · 2 citations
     Computer Science · Social Sciences · #Privacy-Preserving Technologies in Data #Health disparities and outcomes
195. BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
     2024/12/05 by Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi +40 · 1 voice · 4 citations
     #cs.LG #cs.CL
196. EmoNets: Multimodal deep learning approaches for emotion recognition in\n video
     2015/03/05 by Samira Ebrahimi Kahou, Xavier Bouthillier, Kahou, Samira Ebrahimi +34 · 2 citations
     Psychology · Computer Science · #Emotion and Mood Recognition #Face recognition and analysis #Human Pose and Action Recognition
197. Towards equilibrium molecular conformation generation with GFlowNets
     2023/10/20 by Alexandra Volokhova, Volokhova, Alexandra, Michał Koziarski +17 · 3 citations
     Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
198. Z-Forcing: Training Stochastic Recurrent Networks
     2017/11/15 by Anirudh Goyal, Goyal, Anirudh, Alessandro Sordoni +7 · 2 citations
     Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Topic Modeling
199. Recurrent Neural Networks With Limited Numerical Precision
     2016/08/24 by J. C. Ott, Ott, Joachim, Zhouhan Lin +7 · 3 citations
     Computer Science · #62M45 #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Time Series Analysis and Forecasting
200. Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders
     2012/06/30 by Yoshua Bengio, Guillaume Alain, Bengio, Yoshua +3 · 1 citation
     Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
201. Hyperbolic Discounting and Learning over Multiple Horizons
     2019/02/19 by William Fedus, Fedus, William, Carles Gelada +7 · 1 voice · 1 citation
     Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
202. Zero-Shot Object-Centric Representation Learning
     2024/08/17 by Aniket Didolkar, Andrii Zadaianchuk, Didolkar, Aniket +11 · 3 citations
     Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
203. Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
     2022/10/12 by Chen Sun, Sun, Chen, Wannan Yang +12 · 1 voice · 2 citations
     Neuroscience · Computer Science · #Neural dynamics and brain function #Neural and Behavioral Psychology Studies #Reinforcement Learning in Robotics
204. Adaptive teachers for amortized samplers
     2024/10/02 by Minsu Kim, Kim, Minsu, Sanghyeok Choi +17 · 5 citations
     Mathematics · #Statistics Education and Methodologies
205. Safety from Honesty in a Disinterested AI Predictor
     2026/06/28 by Yoshua Bengio, Oliver Richardson, Tomáš Gavenčiak +13 · 3 voices
     #cs.AI #cs.LG
206. Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
     2019/11/18 by Tong Che, Xiaofeng Liu, Che, Tong +11 · 3 citations
     Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimedia (cs.MM)
207. Discrete, compositional, and symbolic representations through attractor dynamics
     2023/10/03 by Andrew Nam, Eric Elmoznino, Nam, Andrew +9 · 2 voices · 1 citation
     Neuroscience · Computer Science · #Neural dynamics and brain function #Neural Networks and Applications #Neural Networks and Reservoir Computing
208. Mastering Rate based Curriculum Learning
     2020/08/14 by Lucas Willems, Willems, Lucas, Salem Lahlou +3 · 2 citations
     Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Multimodal Machine Learning Applications
209. Learning to Scale Logits for Temperature-Conditional GFlowNets
     2023/10/04 by Min‐Su Kim, Kim, Minsu, Joohwan Ko +14 · 2 citations
     Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Metabolomics and Mass Spectrometry Studies
210. On the Learning Dynamics of Deep Neural Networks
     2018/09/18 by Rémi Tachet, Tachet, Remi, Mohammad Zakaria Pezeshki +7 · 1 citation
     Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistical Mechanics and Entropy
211. Deep Self-Taught Learning for Handwritten Character Recognition
     2010/09/18 by Frédéric Bastien, Yoshua Bengio, Bastien, Frédéric +31 · 1 citation
     Computer Science · Engineering · #68T05 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #I.2.6 #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Vehicle License Plate Recognition
212. Learning the Arrow of Time
     2019/07/02 by Nasim Rahaman, Rahaman, Nasim, Steffen Wolf +7 · 1 citation
     Biochemistry, Genetics and Molecular Biology · Decision Sciences · Neuroscience · #Artificial Intelligence (cs.AI) #Complex Systems and Decision Making #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Neural dynamics and brain function
213. A learning-based algorithm to quickly compute good primal solutions for\n Stochastic Integer Programs
     2019/12/17 by Yoshua Bengio, Bengio, Yoshua, Emma Frejinger +7 · 1 citation
     Business, Management and Accounting · Decision Sciences · #Auction Theory and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Supply Chain and Inventory Management
214. Autoregressive Boltzmann Generators
     2026/06/25 by Danyal Rehman, Charlie B. Tan, Yoshua Bengio +2 · 1 voice
     #cs.LG #cs.AI
215. Towards DNA-Encoded Library Generation with GFlowNets
     2024/04/15 by Michał Koziarski, Mohammed Abukalam, Koziarski, Michał +17 · 2 citations
     Environmental Science · Decision Sciences · Computer Science · #Environmental DNA in Biodiversity Studies #Scientific Computing and Data Management #Open Source Software Innovations
216. Deriving Differential Target Propagation from Iterating Approximate Inverses
     2020/07/29 by Yoshua Bengio, Bengio, Yoshua · 1 citation
     Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
217. The Variational Bandwidth Bottleneck: Stochastic Evaluation on an\n Information Budget
     2020/04/24 by Anirudh Goyal, Yoshua Bengio, Goyal, Anirudh +5 · 1 citation
     Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
218. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
     2019/08/16 by Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Siddiquee, Md Mahfuzur Rahman +11 · 1 citation
     Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #electronic engineering #information engineering
219. The Journey is the Reward: Unsupervised Learning of Influential Trajectories
     2019/05/22 by Jonathan Binas, Sherjil Ozair, Binas, Jonathan +3 · 1 voice
     Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
220. The Effect of Diversity in Meta-Learning
     2022/01/27 by Ramnath Kumar, Tristan Deleu, Kumar, Ramnath +3 · 1 citation
     Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Multimodal Machine Learning Applications
221. Cell Morphology-Guided Small Molecule Generation with GFlowNets
     2024/08/09 by Stephen Zhewen Lu, Ziqing Lu, Lu, Stephen Zhewen +11 · 2 citations
     Biochemistry, Genetics and Molecular Biology · #Cell Image Analysis Techniques #Genetics, Bioinformatics, and Biomedical Research
222. Combining Modular Skills in Multitask Learning
     2022/02/28 by Edoardo Maria Ponti, Ponti, Edoardo M., Alessandro Sordoni +5 · 1 citation
     Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
223. Variational Walkback: Learning a Transition Operator as a Stochastic\n Recurrent Net
     2017/11/06 by Anirudh Goyal, Nan Rosemary Ke, Goyal, Anirudh +5 · 1 citation
     Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
224. Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
     2022/06/26 by Yezhen Wang, Tong Che, Wang, Yezhen +11 · 1 citation
     Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing #Topic Modeling
225. Baking Symmetry into GFlowNets
     2024/06/08 by George Ma, Emmanuel Bengio, Ma, George +5 · 2 citations
     Computer Science · Engineering · #Embedded Systems Design Techniques #Graph Theory and Algorithms #CCD and CMOS Imaging Sensors
226. AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
     2022/08/15 by Tianyu Zhang, A. Williams, Zhang, Tianyu +13 · 1 citation
     Economics, Econometrics and Finance · Social Sciences · #Climate Change Policy and Economics #Experimental Behavioral Economics Studies #Sports Analytics and Performance
227. Lookback for Learning to Branch
     2022/06/30 by Prateek Gupta, Elias B. Khalil, Gupta, Prateek +11 · 1 citation
     Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Multi-Criteria Decision Making
228. Visual symbolic mechanisms: Emergent symbol processing in vision language models
     2025/06/18 by Rim Assouel, Assouel, Rim, Declan Campbell +5 · 1 voice · 2 citations
     #cs.CV
229. PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design
     2022/11/22 by Alexandre Duval, Duval, Alexandre, Victor Schmidt +9 · 1 citation
     Materials Science · Computer Science · #Machine Learning in Materials Science #Catalytic Processes in Materials Science #Cloud Computing and Resource Management
230. Reusable Slotwise Mechanisms
     2023/02/21 by Trang Nguyen, Nguyen, Trang, Amin Mansouri +11 · 1 citation
     Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
231. Attention as an RNN
     2024/05/22 by Leo Feng, Frederick Tung, Feng, Leo +9 · 1 voice
     Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
232. SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data
     2023/11/02 by Mélisande Teng, Teng, Mélisande, Amna Elmustafa +11 · 1 voice
     Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · #Remote Sensing in Agriculture #Species Distribution and Climate Change #Wildlife Ecology and Conservation #cs.CV #cs.LG #q-bio.PE
233. Towards Gene Expression Convolutions using Gene Interaction Graphs
     2018/06/18 by Francis Dutil, Joseph Cohen, Dutil, Francis +7 · 1 citation
     Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Gene expression and cancer classification #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #and Science (cs.CE)
234. Memory Efficient Neural Processes via Constant Memory Attention Block
     2023/05/23 by Leo Feng, Feng, Leo, Frederick Tung +7 · 1 citation
     Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
235. Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
     2025/02/14 by Thomas Jiralerspong, Berton Earnshaw, Jiralerspong, Thomas +7 · 2 citations
     Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
236. BatchGFN: Generative Flow Networks for Batch Active Learning
     2023/06/26 by Shreshth A. Malik, Malik, Shreshth A., Salem Lahlou +13 · 1 citation
     Computer Science · Physics and Astronomy · #Machine Learning and Algorithms #Neural Networks and Applications #Model Reduction and Neural Networks
237. Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
     2023/10/05 by Trang Nguyen, Nguyen, Trang, Alexander Tong +7 · 1 citation
     Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Molecular Networks (q-bio.MN) #Single-cell and spatial transcriptomics
238. A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
     2021/06/03 by Mingde Zhao, Zhen Liu, Zhao, Mingde +9 · 1 citation
     Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Topic Modeling
239. Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models
     2025/02/10 by Siddarth Venkatraman, Venkatraman, Siddarth, Mohsin Hasan +13 · 3 citations
     Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
240. Action abstractions for amortized sampling
     2024/10/19 by Oussama Boussif, Léna Néhale Ezzine, Boussif, Oussama +16 · 1 voice · 1 citation
     Computer Science · #Topological and Geometric Data Analysis #cs.AI #cs.LG
241. Distributional GFlowNets with Quantile Flows
     2023/02/11 by Dinghuai Zhang, Zhang, Dinghuai, Ling Pan +7 · 1 citation
     Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation (stat.CO) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
242. Variational Bi-LSTMs
     2017/11/15 by Samira Shabanian, Devansh Arpit, Shabanian, Samira +5 · 1 citation
     Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
243. Continuous-Time Meta-Learning with Forward Mode Differentiation
     2022/03/02 by Tristan Deleu, David Kanaa, Deleu, Tristan +11 · 1 citation
     Computer Science · #Domain Adaptation and Few-Shot Learning
244. Attention Schema in Neural Agents
     2023/05/27 by Dianbo Liu, Liu, Dianbo, Samuele Bolotta +7 · 1 citation
     Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function
245. In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?
     2025/04/17 by Ben Bucknall, Saad Siddiqui, Bucknall, Ben +41 · 2 voices · 1 citation
     #cs.CY
246. Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity
     2025/01/19 by David Williams-King, Linh Le, Williams-King, David +5 · 1 citation
     Engineering · Computer Science · Decision Sciences · #Safety Systems Engineering in Autonomy #Information and Cyber Security #Risk and Safety Analysis
247. Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution
     2024/10/01 by Zehao Jin, Mario Pasquato, Benjamin L. Davis +10 · 1 voice · 1 citation
     Physics and Astronomy · #Black Holes and Theoretical Physics #Cosmology and Gravitation Theories #Galaxies: Formation, Evolution, Phenomena #astro-ph.GA
248. On Generalization for Generative Flow Networks
     2024/07/03 by Anas Krichel, Nikolay Malkin, Krichel, Anas +5 · 1 citation
     Computer Science · Decision Sciences · Engineering · #Advanced Database Systems and Queries #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scheduling and Optimization Algorithms #Simulation Techniques and Applications
249. Offline Model-Based Optimization: Comprehensive Review
     2025/03/21 by Minsu Kim, Kim, Minsu, Jiayao Gu +11 · 2 citations
     Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
250. Interpretable Convolutional Filters with SincNet
     2018/11/23 by Mirco Ravanelli, Ravanelli, Mirco, Yoshua Bengio +1 · 1 citation
     Computer Science · #Anomaly Detection Techniques and Applications #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis #Time Series Analysis and Forecasting #electronic engineering #information engineering
251. Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks
     2023/10/03 by Luca Scimeca, Alexander Rubinstein, Scimeca, Luca +7 · 1 citation
     Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing
252. A scalable gene network model of regulatory dynamics in single cells
     2025/03/25 by Paul A. Bertin, Bertin, Paul, Joseph D. Viviano +10 · 1 citation
     Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Molecular Networks (q-bio.MN)
253. Posterior samples of source galaxies in strong gravitational lenses with score-based priors
     2022/11/07 by Alexandre Adam, Adam Coogan, Adam, Alexandre +11 · 1 citation
     Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Gaussian Processes and Bayesian Inference #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG)
254. International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
     2025/10/15 by Yoshua Bengio, Bengio, Yoshua, Stephen Clare +134 · 1 citation
     Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
255. General Multimodal Protein Design Enables DNA-Encoding of Chemistry
     2026/04/06 by Jarrid Rector-Brooks, Théophile Lambert, Marta Skreta +15 · 3 voices
     #cs.LG
256. Realigning AI technology towards the Sustainable Development Goals
     2026/07/14 by Rundong Feng, Ziming Li, Bojie Fu +3 · 1 voice
     #COVID-19 impact on air quality #Green IT and Sustainability #Smart Cities and Technologies