Aaron Courville
- Generative Adversarial Networks
2014/06/10 by Ian J. Goodfellow, Ian Goodfellow, Goodfellow, Ian J. +14 · 7 voices · 92 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Music and Audio Processing #cs.LG #stat.ML
- Representation Learning: A Review and New Perspectives
2013/05/31 by Yoshua Bengio, Y. Bengio, Aaron Courville +3 · 407 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition #Neural Networks and Applications
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015/02/10 by Kelvin Xu, Jimmy Ba, Xu, Kelvin +13 · 1 voice · 54 citations
#cs.LG #cs.CV
- Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
2013/08/15 by Yoshua Bengio, Bengio, Yoshua, Nicholas Léonard +3 · 357 citations
Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Markov Chains and Monte Carlo Methods
- Representation Learning: A Review and New Perspectives
2012/06/24 by Yoshua Bengio, Aaron Courville, Bengio, Yoshua +3 · 205 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition #Neural Networks and Applications
- Improved Training of Wasserstein GANs
2017/03/31 by Ishaan Gulrajani, Gulrajani, Ishaan, Faruk Ahmed +7 · 217 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
2025/07/14 by Sangmin Bae, Yujin Kim, Bae, Sangmin +19 · 6 voices · 29 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
- Generative adversarial networks
2020/10/22 by Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5 · 88 citations
Computer Science · #Computational Physics and Python Applications #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis
- An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
2013/12/21 by Ian Goodfellow, Goodfellow, Ian J., Mehdi Mirza +7 · 61 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)
- A Closer Look at Memorization in Deep Networks
2017/06/16 by Devansh Arpit, Stanisław Jastrzȩbski, Arpit, Devansh +19 · 70 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)
- MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
2019/10/08 by Kundan Kumar, Kumar, Kundan, Rithesh Kumar +15 · 80 citations
Computer Science · #Speech and Audio Processing #Music and Audio Processing #Speech Recognition and Synthesis
- Deep Reinforcement Learning at the Edge of the Statistical Precipice
2021/08/30 by Rishabh Agarwal, Max Schwarzer, Agarwal, Rishabh +7 · 65 citations
Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Advanced Multi-Objective Optimization Algorithms
- A Recurrent Latent Variable Model for Sequential Data
2015/06/07 by Jun‐Young Chung, Kyle Kastner, Chung, Junyoung +9 · 54 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Neural Networks and Applications
- Out-of-Distribution Generalization via Risk Extrapolation (REx)
2020/03/02 by David Krueger, Ethan Caballero, Krueger, David +13 · 55 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference
- Challenges in Representation Learning: A report on three machine\n learning contests
2013/07/01 by Ian Goodfellow, Goodfellow, Ian J., Dumitru Erhan +55 · 27 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
- Data-Efficient Reinforcement Learning with Self-Predictive\n Representations
2020/07/12 by Max Schwarzer, Ankesh Anand, Schwarzer, Max +9 · 29 citations
Computer Science · #Reinforcement Learning in Robotics
- Bigger, Better, Faster: Human-level Atari with human-level efficiency
2023/05/30 by Max Schwarzer, Schwarzer, Max, Johan Obando-Ceron +10 · 1 voice · 26 citations
Computer Science · #Anomaly Detection Techniques and Applications #Human Pose and Action Recognition #Reinforcement Learning in Robotics #cs.AI #cs.LG
- The Primacy Bias in Deep Reinforcement Learning
2022/05/16 by Evgenii Nikishin, Nikishin, Evgenii, Max Schwarzer +7 · 1 voice · 22 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
- 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
- Variance Reduction in SGD by Distributed Importance Sampling
2015/11/20 by Guillaume Alain, Alain, Guillaume, Alex Lamb +7 · 15 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
- V-STaR: Training Verifiers for Self-Taught Reasoners
2024/02/09 by Arian Hosseini, Xingdi Yuan, Hosseini, Arian +9 · 30 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
- Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
2017/01/10 by Ying Zhang, Mohammad Pezeshki, Zhang, Ying +10 · 1 voice · 4 citations
Computer Science · #Music and Audio Processing #Speech Recognition and Synthesis #Speech and Audio Processing #cs.CL #cs.LG #stat.ML
- Gradient Starvation: A Learning Proclivity in Neural Networks
2020/11/18 by Mohammad Pezeshki, Pezeshki, Mohammad, Sékou-Oumar Kaba +9 · 20 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning
- Riemannian Diffusion Models
2022/08/16 by Chin‐Wei Huang, Huang, Chin-Wei, Milad Aghajohari +7 · 18 citations
Computer Science · Medicine · #Generative Adversarial Networks and Image Synthesis #Advanced Neuroimaging Techniques and Applications #Human Pose and Action Recognition
- PixelVAE: A Latent Variable Model for Natural Images
2016/11/15 by Ishaan Gulrajani, Kundan Kumar, Gulrajani, Ishaan +11 · 14 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Cancer-related molecular mechanisms research
- Evolution Strategies at the Hyperscale
2025/11/20 by Bidipta Sarkar, Sarkar, Bidipta, Mattie Fellows +38 · 4 voices · 1 citation
Computer Science · Mathematics · #Metaheuristic Optimization Algorithms Research #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications #cs.AI #cs.LG
- ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
2015/05/03 by Francesco Visin, Kyle Kastner, Visin, Francesco +9 · 1 voice · 2 citations
#cs.CV
- A Variational Perspective on Diffusion-Based Generative Models and Score Matching
2021/06/05 by Chin-Wei Huang, Jae Hyun Lim, Huang, Chin-Wei +3 · 15 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Machine Learning in Healthcare
- VinePPO: Refining Credit Assignment in RL Training of LLMs
2024/10/02 by Amirhossein Kazemnejad, Milad Aghajohari, Kazemnejad, Amirhossein +11 · 20 citations
Computer Science · #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
- 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
- Generative Flow Networks for Discrete Probabilistic Modeling
2022/02/03 by Dinghuai Zhang, Zhang, Dinghuai, Nikolay Malkin +9 · 9 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
- Modeling Caption Diversity in Contrastive Vision-Language Pretraining
2024/04/30 by Samuel Lavoie, Lavoie, Samuel, Polina Kirichenko +11 · 2 voices · 10 citations
#cs.CV #cs.AI #cs.CL #cs.LG
- An Actor-Critic Algorithm for Sequence Prediction
2016/07/24 by Dzmitry Bahdanau, Philémon Brakel, Bahdanau, Dzmitry +13 · 5 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Counterpoint By Convolution.
2017/10/23 by Cheng-Zhi Anna Huang, Huang, Cheng-Zhi Anna, Tim Cooijmans +7 · 8 citations
Computer Science · Physics and Astronomy · #Music and Audio Processing #Model Reduction and Neural Networks #Music Technology and Sound Studies
- Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
2018/10/22 by Yikang Shen, Shawn W. Tan, Shen, Yikang +6 · 5 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
2024/10/23 by Michael Noukhovitch, Noukhovitch, Michael, Shengyi Huang +9 · 15 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Teaching Algorithmic Reasoning via In-context Learning
2022/11/15 by Hattie Zhou, Azade Nova, Zhou, Hattie +9 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- HoME: a Household Multimodal Environment
2017/11/29 by Simon Brodeur, Brodeur, Simon, Ethan Perez +15 · 11 citations
Computer Science · Psychology · #Speech and dialogue systems #Social Robot Interaction and HRI #AI in Service Interactions
- Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
2018/02/27 by Amjad Almahairi, Sai Rajeswar, Almahairi, Amjad +7 · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
2020/12/10 by Chin-Wei Huang, Huang, Chin-Wei, Ricky T. Q. Chen +5 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- 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
- Forgetting Transformer: Softmax Attention with a Forget Gate
2025/03/03 by Zhixuan Lin, Evgenii Nikishin, Lin, Zhixuan +5 · 12 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- In value-based deep reinforcement learning, a pruned network is a good network
2024/02/19 by Johan Obando-Ceron, Obando-Ceron, Johan, Aaron Courville +3 · 1 voice · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #cs.AI #cs.LG
- DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
2021/12/09 by Aviral Kumar, Rishabh Agarwal, Kumar, Aviral +9 · 5 citations
Computer Science · #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM
- Tapered Language Models
2026/06/22 by Reza Bayat, Ali Behrouz, Aaron Courville · 3 voices
Computer Science · #cs.LG #cs.AI #cs.CL
- 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
- CLOSURE: Assessing Systematic Generalization of CLEVR Models
2019/12/12 by Dzmitry Bahdanau, Bahdanau, Dzmitry, Harm de Vries +11 · 3 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
- A dataset and exploration of models for understanding video data through\n fill-in-the-blank question-answering
2016/11/23 by Tegan Maharaj, Maharaj, Tegan, Nicolas Ballas +7 · 2 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- 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
- Continuous Coordination As a Realistic Scenario for Lifelong Learning
2021/03/04 by Hadi Nekoei, Nekoei, Hadi, Akilesh Badrinaaraayanan +5 · 2 citations
Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
- The Curse of Diversity in Ensemble-Based Exploration
2024/05/07 by Zhixuan Lin, Pierluca D’Oro, Lin, Zhixuan +5 · 4 citations
Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods
- On the consistency of hyper-parameter selection in value-based deep reinforcement learning
2024/06/25 by Johan Obando-Ceron, Obando-Ceron, Johan, João G. M. Araújo +5 · 1 voice · 5 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scheduling and Optimization Algorithms #cs.AI #cs.LG
- Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
2024/10/23 by Shawn Tan, Tan, Shawn, Yang Song-lin +7 · 4 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- 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
- Neuroplastic Expansion in Deep Reinforcement Learning
2024/10/10 by Jiashun Liu, Johan Obando-Ceron, Liu, Jiashun +5 · 5 citations
Neuroscience · #Neuroscience and Neural Engineering
- FLAM: Frame-Wise Language-Audio Modeling
2025/05/08 by Yusong Wu, Wu, Yusong, Christos Tsirigotis +12 · 1 voice · 5 citations
Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
- Generative Augmented Flow Networks
2022/10/07 by Ling Pan, Dinghuai Zhang, Pan, Ling +7 · 2 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
- Advantage Alignment Algorithms
2024/06/20 by Juan Agustin Duque, Milad Aghajohari, Duque, Juan Agustin +9 · 3 citations
Business, Management and Accounting · #Collaboration in agile enterprises
- Countering Language Drift with Seeded Iterated Learning
2020/03/28 by Yuchen Lu, Soumye Singhal, Lu, Yuchen +7 · 1 citation
Computer Science · #Topic Modeling #Speech and dialogue systems #Natural Language Processing Techniques
- Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
2025/05/29 by Jiashun Liu, Zihao Wu, Liu, Jiashun +9 · 5 citations
Neuroscience · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Neuroscience and Neural Engineering
- Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
2020/05/17 by B. A. Knyazev, Knyazev, Boris, Harm de Vries +9 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Supervised Seeded Iterated Learning for Interactive Language Learning
2020/10/06 by Yuchen Lu, Lu, Yuchen, Soumye Singhal +7 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Speech and dialogue systems #Topic Modeling
- Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings
2023/10/28 by Yi Ren, Samuel Lavoie, Ren, Yi +7 · 2 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 Bioinformatics #Machine Learning in Materials Science
- Latent State Marginalization as a Low-cost Approach for Improving Exploration
2022/10/03 by Dinghuai Zhang, Zhang, Dinghuai, Aaron Courville +9 · 2 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
- Learnable Explicit Density for Continuous Latent Space and Variational Inference
2017/10/06 by Chin-Wei Huang, Huang, Chin-Wei, Touati, Ahmed +10 · 2 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks
- Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
2025/06/18 by Roger Creus Castanyer, Johan Obando-Ceron, Castanyer, Roger Creus +11 · 1 voice · 6 citations
#cs.LG
- Understanding by Understanding Not: Modeling Negation in Language Models
2021/05/07 by Arian Hosseini, Siva Reddy, Hosseini, Arian +9 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Multi-label Iterated Learning for Image Classification with Label Ambiguity
2021/11/23 by Sai Rajeswar, Rajeswar, Sai, Pau Rodríguez +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 #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
2025/05/31 by Hongyao Tang, Tang, Hongyao, Johan Obando-Ceron +7 · 4 citations
Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies
- SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
2024/07/03 by Bac Nguyen, Nguyen, Bac, Stefan Uhlich +9 · 2 citations
Engineering · Computer Science · #Advancements in PLL and VCO Technologies #Advanced Electrical Measurement Techniques #Image and Signal Denoising Methods
- Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
2024/10/02 by Ghada Sokar, Johan Obando-Ceron, Sokar, Ghada +7 · 2 citations
Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG)
- Benchmarking Bonus-Based Exploration Methods on the Arcade Learning\n Environment
2019/08/06 by Adrien Ali Taïga, William Fedus, Taïga, Adrien Ali +7 · 1 citation
Computer Science · Decision Sciences · Psychology · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #FOS: Computer and information sciences #Gambling Behavior and Treatments #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Distributional GFlowNets with Quantile Flows
2023/02/11 by Dinghuai Zhang, Ling Pan, Zhang, Dinghuai +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
- Scattered Mixture-of-Experts Implementation
2024/03/13 by Shawn Tan, Yikang Shen, Tan, Shawn +5 · 1 citation
Earth and Planetary Sciences · #Environmental Monitoring and Data Management
- The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks
2025/06/03 by Walter Mayor, Mayor, Walter, Johan Obando-Ceron +5 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Software-Defined Networks and 5G #Stochastic Gradient Optimization Techniques
- Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
2025/10/02 by Liu, Jiashun, Johan Obando-Ceron, Obando-Ceron, Johan +16 · 2 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
2025/10/15 by Johan Obando-Ceron, Obando-Ceron, Johan, Walter Mayor +9 · 1 voice · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics #Robotics (cs.RO) #cs.AI #cs.LG #cs.RO
- Adaptive Computation Pruning for the Forgetting Transformer
2025/04/09 by Zhixuan Lin, Johan Obando-Ceron, Lin, Zhixuan +5 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Big Data and Digital Economy #Advanced Memory and Neural Computing