← Authors

Samy Bengio

49 papers · 2001–2026 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (24) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🌟 Keyword Trendsetter Combo (10) πŸ† Keyword Champion πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ’Ž Century Club (48) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter ❓ The Questioner (7) πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (177)

Conferences

NIPS (18) ICLR (8) JMLR (8) ICML (6) CVPR (4) CONLL (2) ACL (1) EACL (1) INTERSPEECH (1)

Top co-authors

Emmanuel Abbe (6) Oriol Vinyals (5) Navdeep Jaitly (5) Aryo Lotfi (4) Yoram Singer (4) Maithra Raghu (4) Chiyuan Zhang (4) Etai Littwin (3) Hossein Mobahi (3) Omid Saremi (3)

Keywords

neural network (7) deep learning (5) image captioning (4) online learning (3) neural machine translation (3) convolutional neural network (3) curriculum learning (3) logic reasoning (2) boolean function (2) sequence-to-sequence model (2) image similarity (2) image classification (2) zero-shot learning (2) recurrent neural network (2) attention mechanism (2) natural language generation (2) sparse representation (2) machine translation (2) dimensionality reduction (2) out-of-distribution generalization (2)

Papers

Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining ACL 2025
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models ICLR 2025
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad NIPS 2024
What Algorithms can Transformers Learn? A Study in Length Generalization ICLR 2024
When can transformers reason with abstract symbols? ICLR 2024
Generalization on the Unseen, Logic Reasoning and Degree Curriculum JMLR 2024
Continuous pseudo-labeling from the start ICLR 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum ICML 2023
Transformers learn through gradual rank increase NIPS 2023
Are All Layers Created Equal? JMLR 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures NIPS 2022
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding NIPS 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss NIPS 2021
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization ICLR 2020
Fantastic Generalization Measures and Where to Find Them ICLR 2020
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NIPS 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML ICLR 2020
Area Attention ICML 2019
Predicting the Generalization Gap in Deep Networks with Margin Distributions ICLR 2019
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs CVPR 2019
Transfusion: Understanding Transfer Learning for Medical Imaging NIPS 2019
Fast Decoding in Sequence Models Using Discrete Latent Variables ICML 2018
Large Margin Deep Networks for Classification NIPS 2018
Content preserving text generation with attribute controls NIPS 2018
Insights on representational similarity in neural networks with canonical correlation NIPS 2018
Context-Aware Captions From Context-Agnostic Supervision CVPR 2017
Tacotron: Towards End-to-End Speech Synthesis INTERSPEECH 2017
Device Placement Optimization with Reinforcement Learning ICML 2017
Sharp Minima Can Generalize For Deep Nets ICML 2017
ADIOS: Architectures Deep In Output Space ICML 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction NIPS 2016
Generating Sentences from a Continuous Space CONLL 2016
Can Active Memory Replace Attention? NIPS 2016
An Online Sequence-to-Sequence Model Using Partial Conditioning NIPS 2016
LLORMA: Local Low-Rank Matrix Approximation JMLR 2016
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NIPS 2015
Show and Tell: A Neural Image Caption Generator CVPR 2015
Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015
Training Highly Multiclass Classifiers JMLR 2014
DeViSE: A Deep Visual-Semantic Embedding Model NIPS 2013
Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010
Label Embedding Trees for Large Multi-Class Tasks NIPS 2010
Why Does Unsupervised Pre-training Help Deep Learning? JMLR 2010
Group Sparse Coding NIPS 2009
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009
The Need for Open Source Software in Machine Learning JMLR 2007
Investigating Lexical Substitution Scoring for Subtitle Generation CONLL 2006
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001