2020 · Communications of the ACM
Generative adversarial networks
14,543 citationsRead
Most cited
360 papers in total2013 · IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation Learning: A Review and New Perspectives
13,368 citationsRead
2016
Deep Learning
8,825 citations
2015 · arXiv (Cornell University)
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
7,435 citationsRead
2014 · arXiv (Cornell University)
Generative Adversarial Networks
4,583 citationsRead
2016 · Medical Image Analysis
Brain tumor segmentation with Deep Neural Networks
3,323 citationsRead
Newest first
360 papers in total2026
- A Recurrent Latent Variable Model for Sequential DataarXiv (Cornell University) · 137 citations
2023
2022
- Multi-label Iterated Learning for Image Classification with Label Ambiguity2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 35 citations
- Teaching Algorithmic Reasoning via In-context LearningarXiv (Cornell University) · 23 citations
- Riemannian Diffusion ModelsarXiv (Cornell University) · 14 citations
- The Primacy Bias in Deep Reinforcement LearningarXiv (Cornell University) · 14 citations
- On the Compositional Generalization Gap of In-Context Learning9 citations
- Building Robust Ensembles via Margin BoostingarXiv (Cornell University) · 7 citations
- Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate ProgressarXiv (Cornell University) · 6 citations
- Invariant representation driven neural classifier for anti-QCD jet taggingJournal of High Energy Physics · 6 citations
- Simplicial Embeddings in Self-Supervised Learning and Downstream ClassificationarXiv (Cornell University) · 6 citations
- Unsupervised Dependency Graph NetworkProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 5 citations
2021
- Understanding by Understanding Not: Modeling Negation in Language Models44 citations
- Deep Reinforcement Learning at the Edge of the Statistical PrecipicearXiv (Cornell University) · 41 citations
- A Variational Perspective on Diffusion-Based Generative Models and Score MatchingarXiv (Cornell University) · 40 citations
- Pretraining Representations for Data-Efficient Reinforcement LearningarXiv (Cornell University) · 33 citations
- Generative Compositional Augmentations for Scene Graph Prediction2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 29 citations
- StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling23 citations
- On Bonus-Based Exploration Methods in the Arcade Learning EnvironmentarXiv (Cornell University) · 22 citations
- Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?arXiv (Cornell University) · 15 citations
- MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical ModelingarXiv (Cornell University) · 10 citations
- DR3: Value-Based Deep Reinforcement Learning Requires Explicit RegularizationarXiv (Cornell University) · 6 citations
- Chunked Autoregressive GAN for Conditional Waveform SynthesisarXiv (Cornell University) · 6 citations
- Continuous Coordination As a Realistic Scenario for Lifelong LearningPolyPublie (École Polytechnique de Montréal) · 6 citations
- Emergent Communication under Competition5 citations
- Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle5 citations
2020
- Out-of-Distribution Generalization via Risk Extrapolation (REx)arXiv (Cornell University) · 251 citations
- Detecting Semantic AnomaliesAAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 57 citations
- Unsupervised Learning of Dense Visual RepresentationsarXiv (Cornell University) · 50 citations
Research in numbers
From OpenAlex- preprint106
- conference paper55
- article33
- book chapter3
- review2
- arXiv (Cornell University)105
- Proceedings of the AAAI Conference on Artificial Intelligence6
- Neural Information Processing Systems5
- PolyPublie (École Polytechnique de Montréal)5
- International Conference on Machine Learning4
- Yoshua Bengio90
- Ian Goodfellow18
- Hugo Larochelle15
- Harm de Vries15
- Alessandro Sordoni14
Experience and education
Universities
2018University of Waterloo
2015Université de Sherbrooke
2002 to 2003University of Toronto
Industry and labs
2022Computer Algorithms for Medicine
2020 to 2021Google (United States)
2021Montreal Police Service
2020Brain (Germany)
2015 to 2020Canadian Institute for Advanced Research
2002 to 2006Center for the Neural Basis of Cognition
2005Carnegie Robotics (United States)