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Samy Bengio

  1. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
    2024/10/07 by Iman Mirzadeh, Keivan Alizadeh, Mirzadeh, Iman +9 · 69 voices · 151 citations
    Computer Science · #Natural Language Processing Techniques
  2. Understanding deep learning requires rethinking generalization
    2016/11/10 by Chiyuan Zhang, Samy Bengio, Zhang, Chiyuan +7 · 9 voices · 178 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Stochastic Gradient Optimization Techniques #cs.LG
  3. Adversarial examples in the physical world
    2016/07/08 by Alexey Kurakin, Ian Goodfellow, Kurakin, Alexey +3 · 5 voices · 111 citations
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CR #cs.CV #cs.LG #stat.ML
  4. Tacotron: Towards End-to-End Speech Synthesis
    2017/03/29 by Yuxuan Wang, RJ Skerry-Ryan, Wang, Yuxuan +26 · 2 voices · 61 citations
    Computer Science · #cs.CL #cs.LG #cs.SD
  5. Understanding deep learning (still) requires rethinking generalization
    2021/02/22 by Chiyuan Zhang, Samy Bengio, Moritz Hardt +2 · 140 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Stochastic Gradient Optimization Techniques
  6. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
    2015/06/09 by Samy Bengio, Bengio, Samy, Oriol Vinyals +5 · 150 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  7. Transfusion: Understanding Transfer Learning for Medical Imaging
    2019/02/14 by Maithra Raghu, Raghu, Maithra, Chiyuan Zhang +5 · 1 voice · 36 citations
    Medicine · Computer Science · #COVID-19 diagnosis using AI #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging
  8. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
    2025/06/07 by Parshin Shojaee, Shojaee, Parshin, Iman Mirzadeh +9 · 14 voices · 129 citations
    #cs.AI #cs.CL #cs.LG
  9. Neural Combinatorial Optimization with Reinforcement Learning
    2016/11/29 by Irwan Bello, Bello, Irwan, Hieu Pham +7 · 56 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research
  10. Adversarial Machine Learning at Scale
    2016/11/04 by Alexey Kurakin, Ian Goodfellow, Kurakin, Alexey +3 · 57 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Sharp Minima Can Generalize For Deep Nets
    2017/03/15 by Laurent Dinh, Razvan Pascanu, Dinh, Laurent +5 · 49 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
  12. What Algorithms can Transformers Learn? A Study in Length Generalization
    2023/10/24 by Hattie Zhou, Zhou, Hattie, Arwen Bradley +13 · 2 voices · 21 citations
    Computer Science · #cs.LG #cs.AI #cs.CL #stat.ML
  13. Insights on representational similarity in neural networks with canonical correlation
    2018/06/14 by Ari S. Morcos, Maithra Raghu, Morcos, Ari S. +3 · 21 citations
    Computer Science · Materials Science · Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  14. Order Matters: Sequence to sequence for sets
    2015/11/19 by Oriol Vinyals, Vinyals, Oriol, Samy Bengio +3 · 19 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 #Text Readability and Simplification #Topic Modeling
  15. Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
    2019/09/19 by Aniruddh Raghu, Raghu, Aniruddh, Maithra Raghu +5 · 20 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  16. A Study on Overfitting in Deep Reinforcement Learning
    2018/04/18 by Chiyuan Zhang, Zhang, Chiyuan, Oriol Vinyals +5 · 19 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  17. Zero-Shot Learning by Convex Combination of Semantic Embeddings
    2013/12/19 by Mohammad Norouzi, Norouzi, Mohammad, Tomáš Mikolov +13 · 13 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  18. Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
    2021/06/05 by Yang Li, Si Si, Li, Yang +7 · 15 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG)
  19. Device Placement Optimization with Reinforcement Learning
    2017/06/13 by Azalia Mirhoseini, Hieu Pham, Mirhoseini, Azalia +17 · 14 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics
  20. Predicting the Generalization Gap in Deep Networks with Margin Distributions
    2018/09/28 by Yiding Jiang, Dilip Krishnan, Jiang, Yiding +5 · 13 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  21. Reward Augmented Maximum Likelihood for Neural Structured Prediction
    2016/09/01 by Mohammad Norouzi, Norouzi, Mohammad, Samy Bengio +11 · 9 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  22. When can transformers reason with abstract symbols?
    2023/10/15 by Enric Boix-Adserà, Enric Boix-Adsera, Boix-Adsera, Enric +12 · 1 voice · 4 citations
    Computer Science · #Advanced Text Analysis Techniques #Natural Language Processing Techniques #cs.AI #cs.CL #cs.LG
  23. End-to-End Text-Dependent Speaker Verification
    2015/09/27 by Georg Heigold, Heigold, Georg, Ignacio López Moreno +5 · 5 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #Topic Modeling
  24. Generalization on the Unseen, Logic Reasoning and Degree Curriculum
    2023/01/30 by Emmanuel Abbé, Abbe, Emmanuel, Samy Bengio +5 · 8 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Machine Learning and Data Classification #Machine Learning and Algorithms
  25. Learning to Remember Rare Events
    2017/03/09 by Łukasz Kaiser, Kaiser, Łukasz, Ofir Nachum +5 · 7 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  26. Fast Decoding in Sequence Models using Discrete Latent Variables
    2018/03/09 by Łukasz Kaiser, Kaiser, Łukasz, Aurko Roy +11 · 10 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  27. How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad
    2024/06/10 by Emmanuel Abbe, Emmanuel Abbé, Samy Bengio +8 · 1 voice · 2 citations
    Computer Science · Psychology · #Computability, Logic, AI Algorithms #Deception detection and forensic psychology #Neural Networks and Applications #cs.AI #cs.LG #stat.ML
  28. Context-aware Captions from Context-agnostic Supervision
    2017/01/11 by Ramakrishna Vedantam, Vedantam, Ramakrishna, Samy Bengio +7 · 7 citations
    Computer Science · #Multimodal Machine Learning Applications #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
  29. Discrete Autoencoders for Sequence Models
    2018/01/29 by Łukasz Kaiser, Kaiser, Łukasz, Samy Bengio +1 · 5 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Algorithms and Data Compression #Image Processing and 3D Reconstruction
  30. Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
    2020/01/14 by Yang Li, Li, Yang, Julien Amelot +7 · 2 citations
    Computer Science · #Video Analysis and Summarization #Web Data Mining and Analysis #Music and Audio Processing
  31. Parallel Scheduled Sampling
    2019/06/11 by Daniel Duckworth, Arvind Neelakantan, Duckworth, Daniel +7 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling #Video Analysis and Summarization
  32. Time-Dependent Representation for Neural Event Sequence Prediction
    2017/07/31 by Yang Li, Li, Yang, Nan Du +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  33. Continuous Soft Pseudo-Labeling in ASR
    2022/11/11 by Tatiana Likhomanenko, Ronan Collobert, Likhomanenko, Tatiana +5 · 1 citation
    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 #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  34. Adaptivity and Modularity for Efficient Generalization Over Task Complexity
    2023/10/13 by Samira Abnar, Omid Saremi, Abnar, Samira +19 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  35. TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
    2025/04/02 by Jeffrey Li, Li, Jeffrey, Mohammadreza Armandpour +19 · 2 citations
    Engineering · #Metallurgy and Material Forming #Advanced Surface Polishing Techniques
  36. NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
    2020/12/14 by Yiding Jiang, Jiang, Yiding, Pierre Foret +17 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  37. Chain-of-Sketch: Enabling Global Visual Reasoning
    2024/10/10 by Aryo Lotfi, Lotfi, Aryo, Enrico Fini +7 · 1 citation
    Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #Educational Tools and Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Online and Blended Learning