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Author Information
Yoshua Bengio (Mila)
Yoshua Bengio is Full Professor in the computer science and operations research department at U. Montreal, scientific director and founder of Mila and of IVADO, Turing Award 2018 recipient, Canada Research Chair in Statistical Learning Algorithms, as well as a Canada AI CIFAR Chair. He pioneered deep learning and has been getting the most citations per day in 2018 among all computer scientists, worldwide. He is an officer of the Order of Canada, member of the Royal Society of Canada, was awarded the Killam Prize, the Marie-Victorin Prize and the Radio-Canada Scientist of the year in 2017, and he is a member of the NeurIPS advisory board and co-founder of the ICLR conference, as well as program director of the CIFAR program on Learning in Machines and Brains. His goal is to contribute to uncover the principles giving rise to intelligence through learning, as well as favour the development of AI for the benefit of all.
Blake Richards (University of Toronto)
Timothy Lillicrap (DeepMind & UCL)
Ila Fiete (Massachusetts Institute of Technology)
David Sussillo (Google Inc.)
Doina Precup (McGill University / Mila / DeepMind Montreal)
Konrad Kording (Upenn)
Surya Ganguli (Stanford)
More from the Same Authors
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2021 Spotlight: Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization »
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish -
2021 Spotlight: The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning »
Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards -
2021 : Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning »
Nan Rosemary Ke · Aniket Didolkar · Sarthak Mittal · Anirudh Goyal · Guillaume Lajoie · Stefan Bauer · Danilo Jimenez Rezende · Yoshua Bengio · Chris Pal · Michael Mozer -
2021 : Long-Term Credit Assignment via Model-based Temporal Shortcuts »
Michel Ma · Pierluca D'Oro · Yoshua Bengio · Pierre-Luc Bacon -
2021 : A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning »
Mingde Zhao · Zhen Liu · Sitao Luan · Shuyuan Zhang · Doina Precup · Yoshua Bengio -
2021 : Effect of diversity in Meta-Learning »
Ramnath Kumar · Tristan Deleu · Yoshua Bengio -
2021 : Learning Neural Causal Models with Active Interventions »
Nino Scherrer · Olexa Bilaniuk · Yashas Annadani · Anirudh Goyal · Patrick Schwab · Bernhard Schölkopf · Michael Mozer · Yoshua Bengio · Stefan Bauer · Nan Rosemary Ke -
2021 : Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models »
Enoch Tetteh · David Krueger · Joseph Paul Cohen · Yoshua Bengio -
2021 : Causality with Susan Athey, Konrad Kording, Amit Sharma »
Susan Athey · Konrad Kording · Amit Sharma · Emre Kiciman -
2021 : Single-Shot Pruning for Offline Reinforcement Learning »
Samin Yeasar Arnob · · Sergey Plis · Doina Precup -
2021 : Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning »
Samin Yeasar Arnob · Riashat Islam · Doina Precup -
2022 Poster: Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning »
Riashat Islam · Hongyu Zang · Anirudh Goyal · Alex Lamb · Kenji Kawaguchi · Xin Li · Romain Laroche · Yoshua Bengio · Remi Tachet des Combes -
2022 : Unmasking the Lottery Ticket Hypothesis: Efficient Adaptive Pruning for Finding Winning Tickets »
Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite -
2022 : Posterior samples of source galaxies in strong gravitational lenses with score-based priors »
Alexandre Adam · Adam Coogan · Nikolay Malkin · Ronan Legin · Laurence Perreault-Levasseur · Yashar Hezaveh · Yoshua Bengio -
2022 : The Paradox of Choice: On the Role of Attention in Hierarchical Reinforcement Learning »
Andrei Nica · Khimya Khetarpal · Doina Precup -
2022 : Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization »
Leo Feng · Padideh Nouri · Aneri Muni · Yoshua Bengio · Pierre-Luc Bacon -
2022 : Bayesian Dynamic Causal Discovery »
Alexander Tong · Lazar Atanackovic · Jason Hartford · Yoshua Bengio -
2022 : Multi-Environment Pretraining Enables Transfer to Action Limited Datasets »
David Venuto · Mengjiao (Sherry) Yang · Pieter Abbeel · Doina Precup · Igor Mordatch · Ofir Nachum -
2022 : Bayesian Q-learning With Imperfect Expert Demonstrations »
Fengdi Che · Xiru Zhu · Doina Precup · David Meger · Gregory Dudek -
2022 : Object-centric causal representation learning »
Amin Mansouri · Jason Hartford · Kartik Ahuja · Yoshua Bengio -
2022 : Equivariance with Learned Canonical Mappings »
Oumar Kaba · Arnab Mondal · Yan Zhang · Yoshua Bengio · Siamak Ravanbakhsh -
2022 : See and Copy: Generation of complex compositional movements from modular and geometric RNN representations »
Sunny Duan · Mikail Khona · Adrian Bertagnoli · Sarthak Chandra · Ila Fiete -
2022 : Interventional Causal Representation Learning »
Kartik Ahuja · Yixin Wang · Divyat Mahajan · Yoshua Bengio -
2022 : Multi-Objective GFlowNets »
Moksh Jain · Sharath Chandra Raparthy · Alex Hernandez-Garcia · Jarrid Rector-Brooks · Yoshua Bengio · Santiago Miret · Emmanuel Bengio -
2022 : PhAST: Physics-Aware, Scalable, and Task-specific GNNs for accelerated catalyst design »
ALEXANDRE DUVAL · Victor Schmidt · Alex Hernandez-Garcia · Santiago Miret · Yoshua Bengio · David Rolnick -
2022 : Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks »
Sitao Luan · Mingde Zhao · Chenqing Hua · Xiao-Wen Chang · Doina Precup -
2022 : Efficient Queries Transformer Neural Processes »
Leo Feng · Hossein Hajimirsadeghi · Yoshua Bengio · Mohamed Osama Ahmed -
2022 : Bayesian Q-learning With Imperfect Expert Demonstrations »
Fengdi Che · Xiru Zhu · Doina Precup · David Meger · Gregory Dudek -
2022 : Rethinking Learning Dynamics in RL using Adversarial Networks »
Ramnath Kumar · Tristan Deleu · Yoshua Bengio -
2022 : Evaluating Long-Term Memory in 3D Mazes »
Jurgis Pašukonis · Timothy Lillicrap · Danijar Hafner -
2022 : Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions »
Chanakya Ekbote · Moksh Jain · Payel Das · Yoshua Bengio -
2022 : A General-Purpose Neural Architecture for Geospatial Systems »
Martin Weiss · Nasim Rahaman · Frederik Träuble · Francesco Locatello · Alexandre Lacoste · Yoshua Bengio · Erran Li Li · Chris Pal · Bernhard Schölkopf -
2022 : Interventional Causal Representation Learning »
Kartik Ahuja · Yixin Wang · Divyat Mahajan · Yoshua Bengio -
2023 Poster: For SALE: State-Action Representation Learning for Deep Reinforcement Learning »
Scott Fujimoto · Wei-Di Chang · Edward Smith · Shixiang (Shane) Gu · Doina Precup · David Meger -
2023 Poster: What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context? »
Oussama Boussif · Ghait Boukachab · Dan Assouline · Stefano Massaroli · Tianle Yuan · Loubna Benabbou · Yoshua Bengio -
2023 Poster: HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution »
Eric Nguyen · Michael Poli · Marjan Faizi · Armin Thomas · Michael Wornow · Callum Birch-Sykes · Stefano Massaroli · Aman Patel · Clayton Rabideau · Yoshua Bengio · Stefano Ermon · Christopher Ré · Stephen Baccus -
2023 Poster: Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network »
Tristan Deleu · Mizu Nishikawa-Toomey · Jithendaraa Subramanian · Nikolay Malkin · Laurent Charlin · Yoshua Bengio -
2023 Poster: Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets »
Dinghuai Zhang · Hanjun Dai · Nikolay Malkin · Aaron Courville · Yoshua Bengio · Ling Pan -
2023 Poster: When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability »
Sitao Luan · Chenqing Hua · Minkai Xu · Qincheng Lu · Jiaqi Zhu · Xiao-Wen Chang · Jie Fu · Jure Leskovec · Doina Precup -
2023 Poster: Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks »
Feng Chen · Daniel Kunin · Atsushi Yamamura · Surya Ganguli -
2023 Poster: ConSpec: honing in on critical steps for rapid learning and generalization in RL »
Chen Sun · Wannan Yang · Thomas Jiralerspong · Dane Malenfant · Benjamin Alsbury-Nealy · Yoshua Bengio · Blake Richards -
2023 Poster: DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets »
Lazar Atanackovic · Alexander Tong · Jason Hartford · Leo J Lee · Bo Wang · Yoshua Bengio -
2023 Poster: A Definition of Continual Reinforcement Learning »
David Abel · Andre Barreto · Benjamin Van Roy · Doina Precup · Hado van Hasselt · Satinder Singh -
2023 Poster: Information Geometry of the Retinal Representation Manifold »
Xuehao Ding · Dongsoo Lee · Joshua Melander · George Sivulka · Surya Ganguli · Stephen Baccus -
2023 Poster: Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions »
Stefano Massaroli · Michael Poli · Dan Fu · Hermann Kumbong · David Romero · Rom Parnichkun · Aman Timalsina · Quinn McIntyre · Beidi Chen · Atri Rudra · Ce Zhang · Christopher Ré · Stefano Ermon · Yoshua Bengio -
2023 Poster: Prediction and Control in Continual Reinforcement Learning »
Nishanth Anand · Doina Precup -
2023 Poster: Reusable Slotwise Mechanisms »
Trang Nguyen · Amin Mansouri · Kanika Madan · Khuong Duy Nguyen · Kartik Ahuja · Dianbo Liu · Yoshua Bengio -
2023 Poster: Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression »
Allan Raventós · Mansheej Paul · Feng Chen · Surya Ganguli -
2023 Poster: Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells »
Rylan Schaeffer · Mikail Khona · Tzuhsuan Ma · Cristobal Eyzaguirre · Sanmi Koyejo · Ila Fiete -
2023 Poster: Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis »
Mitchell Ostrow · Adam Eisen · Leo Kozachkov · Ila Fiete -
2023 Poster: AndroidInTheWild: A Large-Scale Dataset For Android Device Control »
Christopher Rawles · Alice Li · Oriana Riva · Daniel Rodriguez · Timothy Lillicrap -
2023 Poster: SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data »
Mélisande Teng · Amna Elmustafa · Benjamin Akera · Hager Radi · Yoshua Bengio · Hugo Larochelle · David Rolnick -
2023 Poster: GEO-Bench: Toward Foundation Models for Earth Monitoring »
Alexandre Lacoste · Nils Lehmann · Pau Rodriguez · Evan Sherwin · Hannah Kerner · Björn Lütjens · Jeremy Irvin · David Dao · Hamed Alemohammad · Alexandre Drouin · Mehmet Gunturkun · Gabriel Huang · David Vazquez · Dava Newman · Yoshua Bengio · Stefano Ermon · Xiaoxiang Zhu -
2023 Workshop: NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems »
Rasika Bhalerao · Mark Roth · Kai Jeggle · Jorge Montalvo Arvizu · Shiva Madadkhani · Yoshua Bengio -
2023 Workshop: AI for Science: from Theory to Practice »
Yuanqi Du · Max Welling · Yoshua Bengio · Marinka Zitnik · Carla Gomes · Jure Leskovec · Maria Brbic · Wenhao Gao · Kexin Huang · Ziming Liu · Rocío Mercado · Miles Cranmer · Shengchao Liu · Lijing Wang -
2023 Workshop: Computational Sustainability: Promises and Pitfalls from Theory to Deployment »
Suzanne Stathatos · Christopher Yeh · Laura Greenstreet · Tarun Sharma · Katelyn Morrison · Yuanqi Du · Chenlin Meng · Sherrie Wang · Fei Fang · Pietro Perona · Yoshua Bengio -
2022 : Interventional Causal Representation Learning »
Kartik Ahuja · Yixin Wang · Divyat Mahajan · Yoshua Bengio -
2022 Workshop: Tackling Climate Change with Machine Learning »
Peetak Mitra · Maria João Sousa · Mark Roth · Jan Drgona · Emma Strubell · Yoshua Bengio -
2022 Spotlight: Lightning Talks 3B-3 »
Sitao Luan · Zhiyuan You · Ruofan Liu · Linhao Qu · Yuwei Fu · Jiaxi Wang · Chunyu Wei · Jian Liang · xiaoyuan luo · Di Wu · Yun Lin · Lei Cui · Ji Wu · Chenqing Hua · Yujun Shen · Qincheng Lu · XIANGLIN YANG · Benoit Boulet · Manning Wang · Di Liu · Lei Huang · Fei Wang · Kai Yang · Jiaqi Zhu · Jin Song Dong · Zhijian Song · Xin Lu · Mingde Zhao · Shuyuan Zhang · Yu Zheng · Xiao-Wen Chang · Xinyi Le · Doina Precup -
2022 Spotlight: Revisiting Heterophily For Graph Neural Networks »
Sitao Luan · Chenqing Hua · Qincheng Lu · Jiaqi Zhu · Mingde Zhao · Shuyuan Zhang · Xiao-Wen Chang · Doina Precup -
2022 Spotlight: Lightning Talks 2A-4 »
Sarthak Mittal · Richard Grumitt · Zuoyu Yan · Lihao Wang · Dongsheng Wang · Alexander Korotin · Jiangxin Sun · Ankit Gupta · Vage Egiazarian · Tengfei Ma · Yi Zhou · Yishi Xu · Albert Gu · Biwei Dai · Chunyu Wang · Yoshua Bengio · Uros Seljak · Miaoge Li · Guillaume Lajoie · Yiqun Wang · Liangcai Gao · Lingxiao Li · Jonathan Berant · Huang Hu · Xiaoqing Zheng · Zhibin Duan · Hanjiang Lai · Evgeny Burnaev · Zhi Tang · Zhi Jin · Xuanjing Huang · Chaojie Wang · Yusu Wang · Jian-Fang Hu · Bo Chen · Chao Chen · Hao Zhou · Mingyuan Zhou -
2022 Spotlight: Is a Modular Architecture Enough? »
Sarthak Mittal · Yoshua Bengio · Guillaume Lajoie -
2022 : Simulating Human Gaze with Neural Visual Attention »
Leo Schwinn · Doina Precup · Bjoern Eskofier · Dario Zanca -
2022 : Simulating Human Gaze with Neural Visual Attention »
Leo Schwinn · Doina Precup · Bjoern Eskofier · Dario Zanca -
2022 : Equivariance with Learned Canonical Mappings »
Oumar Kaba · Arnab Mondal · Yan Zhang · Yoshua Bengio · Siamak Ravanbakhsh -
2022 : Invited Keynote 1 »
Yoshua Bengio -
2022 : FL Games: A Federated Learning Framework for Distribution Shifts »
Sharut Gupta · Kartik Ahuja · Mohammad Havaei · Niladri Chatterjee · Yoshua Bengio -
2022 : Panel Discussion »
Cheng Zhang · Mihaela van der Schaar · Ilya Shpitser · Aapo Hyvarinen · Yoshua Bengio · Bernhard Schölkopf -
2022 Workshop: 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad" »
Aviral Kumar · Rishabh Agarwal · Aravind Rajeswaran · Wenxuan Zhou · George Tucker · Doina Precup · Aviral Kumar -
2022 Workshop: AI for Science: Progress and Promises »
Yi Ding · Yuanqi Du · Tianfan Fu · Hanchen Wang · Anima Anandkumar · Yoshua Bengio · Anthony Gitter · Carla Gomes · Aviv Regev · Max Welling · Marinka Zitnik -
2022 Poster: Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints »
Jose Gallego-Posada · Juan Ramirez · Akram Erraqabi · Yoshua Bengio · Simon Lacoste-Julien -
2022 Poster: Large-Scale Retrieval for Reinforcement Learning »
Peter Humphreys · Arthur Guez · Olivier Tieleman · Laurent Sifre · Theophane Weber · Timothy Lillicrap -
2022 Poster: Revisiting Heterophily For Graph Neural Networks »
Sitao Luan · Chenqing Hua · Qincheng Lu · Jiaqi Zhu · Mingde Zhao · Shuyuan Zhang · Xiao-Wen Chang · Doina Precup -
2022 Poster: MAgNet: Mesh Agnostic Neural PDE Solver »
Oussama Boussif · Yoshua Bengio · Loubna Benabbou · Dan Assouline -
2022 Poster: Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks »
Mansheej Paul · Brett Larsen · Surya Ganguli · Jonathan Frankle · Gintare Karolina Dziugaite -
2022 Poster: Neural Attentive Circuits »
Martin Weiss · Nasim Rahaman · Francesco Locatello · Chris Pal · Yoshua Bengio · Bernhard Schölkopf · Erran Li Li · Nicolas Ballas -
2022 Poster: Weakly Supervised Representation Learning with Sparse Perturbations »
Kartik Ahuja · Jason Hartford · Yoshua Bengio -
2022 Poster: Trajectory balance: Improved credit assignment in GFlowNets »
Nikolay Malkin · Moksh Jain · Emmanuel Bengio · Chen Sun · Yoshua Bengio -
2022 Poster: Intra-agent speech permits zero-shot task acquisition »
Chen Yan · Federico Carnevale · Petko I Georgiev · Adam Santoro · Aurelia Guy · Alistair Muldal · Chia-Chun Hung · Joshua Abramson · Timothy Lillicrap · Gregory Wayne -
2022 Poster: Beyond neural scaling laws: beating power law scaling via data pruning »
Ben Sorscher · Robert Geirhos · Shashank Shekhar · Surya Ganguli · Ari Morcos -
2022 Poster: On the Stability and Scalability of Node Perturbation Learning »
Naoki Hiratani · Yash Mehta · Timothy Lillicrap · Peter E Latham -
2022 Poster: Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning »
Aniket Didolkar · Kshitij Gupta · Anirudh Goyal · Nitesh Bharadwaj Gundavarapu · Alex Lamb · Nan Rosemary Ke · Yoshua Bengio -
2022 Poster: Is a Modular Architecture Enough? »
Sarthak Mittal · Yoshua Bengio · Guillaume Lajoie -
2022 Poster: Continuous MDP Homomorphisms and Homomorphic Policy Gradient »
Sahand Rezaei-Shoshtari · Rosie Zhao · Prakash Panangaden · David Meger · Doina Precup -
2022 Poster: No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit »
Rylan Schaeffer · Mikail Khona · Ila Fiete -
2022 : Keynote talk: A Deep Learning Journey »
Yoshua Bengio -
2021 : Live Q&A Session 2 with Susan Athey, Yoshua Bengio, Sujeeth Bharadwaj, Jane Wang, Joshua Vogelstein, Weiwei Yang »
Susan Athey · Yoshua Bengio · Sujeeth Bharadwaj · Jane Wang · Weiwei Yang · Joshua T Vogelstein -
2021 Workshop: Offline Reinforcement Learning »
Rishabh Agarwal · Aviral Kumar · George Tucker · Justin Fu · Nan Jiang · Doina Precup · Aviral Kumar -
2021 : Live Q&A Session 1 with Yoshua Bengio, Leyla Isik, Konrad Kording, Bernhard Scholkopf, Amit Sharma, Joshua Vogelstein, Weiwei Yang »
Yoshua Bengio · Leyla Isik · Konrad Kording · Bernhard Schölkopf · Joshua T Vogelstein · Weiwei Yang -
2021 Workshop: Tackling Climate Change with Machine Learning »
Maria João Sousa · Hari Prasanna Das · Sally Simone Fobi · Jan Drgona · Tegan Maharaj · Yoshua Bengio -
2021 : General Discussion 1 - What is out of distribution (OOD) generalization and why is it important? with Yoshua Bengio, Leyla Isik, Max Welling »
Yoshua Bengio · Leyla Isik · Max Welling · Joshua T Vogelstein · Weiwei Yang -
2021 : Session 3 | Invited talk: Surya Ganguli, "From the geometry of high dimensional energy landscapes to optimal annealing in a dissipative many body quantum optimizer" »
Surya Ganguli · Atilim Gunes Baydin -
2021 : AI X Discovery »
Yoshua Bengio -
2021 : Panel Discussion 2 »
Susan L Epstein · Yoshua Bengio · Lucina Uddin · Rohan Paul · Steve Fleming -
2021 : Desiderata and ML Research Programme for Higher-Level Cognition »
Yoshua Bengio -
2021 Workshop: Causal Inference & Machine Learning: Why now? »
Elias Bareinboim · Bernhard Schölkopf · Terrence Sejnowski · Yoshua Bengio · Judea Pearl -
2021 Poster: The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning »
Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards -
2021 Poster: Dynamic Inference with Neural Interpreters »
Nasim Rahaman · Muhammad Waleed Gondal · Shruti Joshi · Peter Gehler · Yoshua Bengio · Francesco Locatello · Bernhard Schölkopf -
2021 Poster: Gradient Starvation: A Learning Proclivity in Neural Networks »
Mohammad Pezeshki · Oumar Kaba · Yoshua Bengio · Aaron Courville · Doina Precup · Guillaume Lajoie -
2021 Poster: Deep Learning on a Data Diet: Finding Important Examples Early in Training »
Mansheej Paul · Surya Ganguli · Gintare Karolina Dziugaite -
2021 Poster: A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning »
Mingde Zhao · Zhen Liu · Sitao Luan · Shuyuan Zhang · Doina Precup · Yoshua Bengio -
2021 Poster: Neural Production Systems »
Anirudh Goyal · Aniket Didolkar · Nan Rosemary Ke · Charles Blundell · Philippe Beaudoin · Nicolas Heess · Michael Mozer · Yoshua Bengio -
2021 Poster: Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation »
Emmanuel Bengio · Moksh Jain · Maksym Korablyov · Doina Precup · Yoshua Bengio -
2021 Poster: Towards Biologically Plausible Convolutional Networks »
Roman Pogodin · Yash Mehta · Timothy Lillicrap · Peter E Latham -
2021 Poster: The Causal-Neural Connection: Expressiveness, Learnability, and Inference »
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim -
2021 Poster: Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization »
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish -
2021 Poster: Discrete-Valued Neural Communication »
Dianbo Liu · Alex Lamb · Kenji Kawaguchi · Anirudh Goyal · Chen Sun · Michael Mozer · Yoshua Bengio -
2020 : Closing remarks »
Raymond Chua · Feryal Behbahani · Julie J Lee · Rui Ponte Costa · Doina Precup · Blake Richards · Ida Momennejad -
2020 : Invited Talk #7 QnA - Yael Niv »
Yael Niv · Doina Precup · Raymond Chua · Feryal Behbahani -
2020 : Panel discussion 2 »
Danielle S Bassett · Yoshua Bengio · Cristina Savin · David Duvenaud · Anna Choromanska · Yanping Huang -
2020 : Speaker Introduction: Yael Niv »
Doina Precup · Raymond Chua · Feryal Behbahani -
2020 : Invited Talk Yoshua Bengio »
Yoshua Bengio -
2020 Workshop: Offline Reinforcement Learning »
Aviral Kumar · Rishabh Agarwal · George Tucker · Lihong Li · Doina Precup · Aviral Kumar -
2020 : Panel Discussions »
Grace Lindsay · George Konidaris · Shakir Mohamed · Kimberly Stachenfeld · Peter Dayan · Yael Niv · Doina Precup · Catherine Hartley · Ishita Dasgupta -
2020 Workshop: Biological and Artificial Reinforcement Learning »
Raymond Chua · Feryal Behbahani · Julie J Lee · Sara Zannone · Rui Ponte Costa · Blake Richards · Ida Momennejad · Doina Precup -
2020 : Organizers Opening Remarks »
Raymond Chua · Feryal Behbahani · Julie J Lee · Ida Momennejad · Rui Ponte Costa · Blake Richards · Doina Precup -
2020 : Invited Talk #7 »
Yoshua Bengio -
2020 : Panel #1 »
Yoshua Bengio · Daniel Kahneman · Henry Kautz · Luis Lamb · Gary Marcus · Francesca Rossi -
2020 : Keynote: Doina Precup »
Doina Precup -
2020 : Yoshua Bengio - Incentives for Researchers »
Yoshua Bengio -
2020 Workshop: Tackling Climate Change with ML »
David Dao · Evan Sherwin · Priya Donti · Lauren Kuntz · Lynn Kaack · Yumna Yusuf · David Rolnick · Catherine Nakalembe · Claire Monteleoni · Yoshua Bengio -
2020 Poster: Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel »
Stanislav Fort · Gintare Karolina Dziugaite · Mansheej Paul · Sepideh Kharaghani · Daniel Roy · Surya Ganguli -
2020 Poster: Untangling tradeoffs between recurrence and self-attention in artificial neural networks »
Giancarlo Kerg · Bhargav Kanuparthi · Anirudh Goyal · Kyle Goyette · Yoshua Bengio · Guillaume Lajoie -
2020 Poster: Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling »
Tong Che · Ruixiang ZHANG · Jascha Sohl-Dickstein · Hugo Larochelle · Liam Paull · Yuan Cao · Yoshua Bengio -
2020 Poster: Predictive coding in balanced neural networks with noise, chaos and delays »
Jonathan Kadmon · Jonathan Timcheck · Surya Ganguli -
2020 Poster: Reward Propagation Using Graph Convolutional Networks »
Martin Klissarov · Doina Precup -
2020 Poster: Identifying Learning Rules From Neural Network Observables »
Aran Nayebi · Sanjana Srivastava · Surya Ganguli · Daniel Yamins -
2020 Poster: A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network »
Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels -
2020 Spotlight: A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network »
Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels -
2020 Spotlight: Reward Propagation Using Graph Convolutional Networks »
Martin Klissarov · Doina Precup -
2020 Spotlight: Identifying Learning Rules From Neural Network Observables »
Aran Nayebi · Sanjana Srivastava · Surya Ganguli · Daniel Yamins -
2020 Poster: Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice »
Rylan Schaeffer · Mikail Khona · Leenoy Meshulam · Brain Laboratory International · Ila Fiete -
2020 Poster: Hybrid Models for Learning to Branch »
Prateek Gupta · Maxime Gasse · Elias Khalil · Pawan K Mudigonda · Andrea Lodi · Yoshua Bengio -
2020 Poster: An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay »
Scott Fujimoto · David Meger · Doina Precup -
2020 Poster: Forethought and Hindsight in Credit Assignment »
Veronica Chelu · Doina Precup · Hado van Hasselt -
2020 Poster: Training Generative Adversarial Networks by Solving Ordinary Differential Equations »
Chongli Qin · Yan Wu · Jost Tobias Springenberg · Andy Brock · Jeff Donahue · Timothy Lillicrap · Pushmeet Kohli -
2020 Spotlight: Training Generative Adversarial Networks by Solving Ordinary Differential Equations »
Chongli Qin · Yan Wu · Jost Tobias Springenberg · Andy Brock · Jeff Donahue · Timothy Lillicrap · Pushmeet Kohli -
2020 Poster: Pruning neural networks without any data by iteratively conserving synaptic flow »
Hidenori Tanaka · Daniel Kunin · Daniel Yamins · Surya Ganguli -
2019 : Invited Talk: Sensory prediction error signals in the neocortex »
Blake Richards -
2019 : Poster Session »
Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar -
2019 : Panel - The Role of Communication at Large: Aparna Lakshmiratan, Jason Yosinski, Been Kim, Surya Ganguli, Finale Doshi-Velez »
Aparna Lakshmiratan · Finale Doshi-Velez · Surya Ganguli · Zachary Lipton · Michela Paganini · Anima Anandkumar · Jason Yosinski -
2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 : Invited Talk: Theories for the emergence of internal representations in neural networks: from perception to navigation »
Surya Ganguli -
2019 : Yoshua Bengio - Towards compositional understanding of the world by agent-based deep learning »
Yoshua Bengio -
2019 : Invited Talk: Simultaneous rigidity and flexibility through modularity in cognitive maps for navigation »
Ila Fiete -
2019 : Lunch Break and Posters »
Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu -
2019 : Poster Spotlight 2 »
Aaron Sidford · Mengdi Wang · Lin Yang · Yinyu Ye · Zuyue Fu · Zhuoran Yang · Yongxin Chen · Zhaoran Wang · Ofir Nachum · Bo Dai · Ilya Kostrikov · Dale Schuurmans · Ziyang Tang · Yihao Feng · Lihong Li · Denny Zhou · Qiang Liu · Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Simon Du · Sham Kakade · Ruosong Wang · Minshuo Chen · Tianyi Liu · Xingguo Li · Zhaoran Wang · Tuo Zhao · Philip Amortila · Doina Precup · Prakash Panangaden · Marc Bellemare -
2019 : Climate Change: A Grand Challenge for ML »
Yoshua Bengio · Carla Gomes · Andrew Ng · Jeff Dean · Lester Mackey -
2019 : Panel Discussion »
Richard Sutton · Doina Precup -
2019 : Invited Talk: Universality and individuality in neural dynamics across large populations of recurrent networks »
David Sussillo -
2019 : Poster and Coffee Break 1 »
Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova -
2019 : Surya Ganguli, Yasaman Bahri, Florent Krzakala moderated by Lenka Zdeborova »
Florent Krzakala · Yasaman Bahri · Surya Ganguli · Lenka Zdeborová · Adji Bousso Dieng · Joan Bruna -
2019 : Invited Talk: Deep learning without weight transport »
Timothy Lillicrap -
2019 : Invited Talk: Hierarchical Reinforcement Learning: Computational Advances and Neuroscience Connections »
Doina Precup -
2019 : Opening Remarks »
Guillaume Lajoie · Jessica Thompson · Maximilian Puelma Touzel · Eli Shlizerman · Konrad Kording -
2019 : Surya Ganguli - An analytic theory of generalization dynamics and transfer learning in deep linear networks »
Surya Ganguli -
2019 Workshop: Joint Workshop on AI for Social Good »
Fei Fang · Joseph Aylett-Bullock · Marc-Antoine Dilhac · Brian Green · natalie saltiel · Dhaval Adjodah · Jack Clark · Sean McGregor · Margaux Luck · Jonathan Penn · Tristan Sylvain · Geneviève Boucher · Sydney Swaine-Simon · Girmaw Abebe Tadesse · Myriam Côté · Anna Bethke · Yoshua Bengio -
2019 Workshop: Real Neurons & Hidden Units: future directions at the intersection of neuroscience and AI »
Guillaume Lajoie · Eli Shlizerman · Maximilian Puelma Touzel · Jessica Thompson · Konrad Kording -
2019 Workshop: Tackling Climate Change with ML »
David Rolnick · Priya Donti · Lynn Kaack · Alexandre Lacoste · Tegan Maharaj · Andrew Ng · John Platt · Jennifer Chayes · Yoshua Bengio -
2019 : Opening remarks »
Yoshua Bengio -
2019 : Panel Discussion »
Linda Smith · Josh Tenenbaum · Lisa Anne Hendricks · James McClelland · Timothy Lillicrap · Jesse Thomason · Jason Baldridge · Louis-Philippe Morency -
2019 : Panel Discussion led by Grace Lindsay »
Grace Lindsay · Blake Richards · Doina Precup · Jacqueline Gottlieb · Jeff Clune · Jane Wang · Richard Sutton · Angela Yu · Ida Momennejad -
2019 : Closing Remarks »
Chris Sander · Ila Fiete · Dana Peer -
2019 : Timothy Lillicrap »
Timothy Lillicrap -
2019 : Opening Remarks »
Raymond Chua · Feryal Behbahani · Sara Zannone · Rui Ponte Costa · Claudia Clopath · Doina Precup · Blake Richards -
2019 : Approaches to Understanding AI »
Yoshua Bengio · Roel Dobbe · Madeleine Elish · Joshua Kroll · Jacob Metcalf · Jack Poulson -
2019 : Invited Talk »
Yoshua Bengio -
2019 Workshop: Biological and Artificial Reinforcement Learning »
Raymond Chua · Sara Zannone · Feryal Behbahani · Rui Ponte Costa · Claudia Clopath · Blake Richards · Doina Precup -
2019 Workshop: Retrospectives: A Venue for Self-Reflection in ML Research »
Ryan Lowe · Yoshua Bengio · Joelle Pineau · Michela Paganini · Jessica Forde · Shagun Sodhani · Abhishek Gupta · Joel Lehman · Peter Henderson · Kanika Madan · Koustuv Sinha · Xavier Bouthillier -
2019 Poster: How to Initialize your Network? Robust Initialization for WeightNorm & ResNets »
Devansh Arpit · Víctor Campos · Yoshua Bengio -
2019 Poster: Wasserstein Dependency Measure for Representation Learning »
Sherjil Ozair · Corey Lynch · Yoshua Bengio · Aaron van den Oord · Sergey Levine · Pierre Sermanet -
2019 Poster: Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes »
Rishidev Chaudhuri · Ila Fiete -
2019 Poster: Unsupervised State Representation Learning in Atari »
Ankesh Anand · Evan Racah · Sherjil Ozair · Yoshua Bengio · Marc-Alexandre Côté · R Devon Hjelm -
2019 Poster: A unified theory for the origin of grid cells through the lens of pattern formation »
Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko -
2019 Poster: Universality and individuality in neural dynamics across large populations of recurrent networks »
Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo -
2019 Spotlight: A unified theory for the origin of grid cells through the lens of pattern formation »
Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko -
2019 Spotlight: Universality and individuality in neural dynamics across large populations of recurrent networks »
Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo -
2019 Poster: Variational Temporal Abstraction »
Taesup Kim · Sungjin Ahn · Yoshua Bengio -
2019 Poster: Gradient based sample selection for online continual learning »
Rahaf Aljundi · Min Lin · Baptiste Goujaud · Yoshua Bengio -
2019 Poster: MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis »
Kundan Kumar · Rithesh Kumar · Thibault de Boissiere · Lucas Gestin · Wei Zhen Teoh · Jose Sotelo · Alexandre de Brébisson · Yoshua Bengio · Aaron Courville -
2019 Invited Talk: From System 1 Deep Learning to System 2 Deep Learning »
Yoshua Bengio -
2019 Poster: From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction »
Hidenori Tanaka · Aran Nayebi · Niru Maheswaranathan · Lane McIntosh · Stephen Baccus · Surya Ganguli -
2019 Poster: Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks »
Sitao Luan · Mingde Zhao · Xiao-Wen Chang · Doina Precup -
2019 Poster: Experience Replay for Continual Learning »
David Rolnick · Arun Ahuja · Jonathan Richard Schwarz · Timothy Lillicrap · Gregory Wayne -
2019 Poster: On Adversarial Mixup Resynthesis »
Christopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal -
2019 Poster: Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input »
Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier -
2019 Poster: Deep Learning without Weight Transport »
Mohamed Akrout · Collin Wilson · Peter Humphreys · Timothy Lillicrap · Douglas Tweed -
2019 Poster: Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics »
Giancarlo Kerg · Kyle Goyette · Maximilian Puelma Touzel · Gauthier Gidel · Eugene Vorontsov · Yoshua Bengio · Guillaume Lajoie -
2019 Poster: Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics »
Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo -
2019 Oral: Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input »
Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier -
2018 : Invited Talk 2 »
Timothy Lillicrap -
2018 : Opening remarks »
Yoshua Bengio -
2018 Workshop: AI for social good »
Margaux Luck · Tristan Sylvain · Joseph Paul Cohen · Arsene Fansi Tchango · Valentine Goddard · Aurelie Helouis · Yoshua Bengio · Sam Greydanus · Cody Wild · Taras Kucherenko · Arya Farahi · Jonathan Penn · Sean McGregor · Mark Crowley · Abhishek Gupta · Kenny Chen · Myriam Côté · Rediet Abebe -
2018 Poster: Image-to-image translation for cross-domain disentanglement »
Abel Gonzalez-Garcia · Joost van de Weijer · Yoshua Bengio -
2018 Poster: Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures »
Sergey Bartunov · Adam Santoro · Blake Richards · Luke Marris · Geoffrey E Hinton · Timothy Lillicrap -
2018 Poster: Temporal Regularization for Markov Decision Process »
Pierre Thodoroff · Audrey Durand · Joelle Pineau · Doina Precup -
2018 Poster: The emergence of multiple retinal cell types through efficient coding of natural movies »
Samuel Ocko · Jack Lindsey · Surya Ganguli · Stephane Deny -
2018 Poster: MetaGAN: An Adversarial Approach to Few-Shot Learning »
Ruixiang ZHANG · Tong Che · Zoubin Ghahramani · Yoshua Bengio · Yangqiu Song -
2018 Poster: Statistical mechanics of low-rank tensor decomposition »
Jonathan Kadmon · Surya Ganguli -
2018 Poster: Learning Safe Policies with Expert Guidance »
Jessie Huang · Fa Wu · Doina Precup · Yang Cai -
2018 Poster: Learning Attractor Dynamics for Generative Memory »
Yan Wu · Gregory Wayne · Karol Gregor · Timothy Lillicrap -
2018 Poster: Task-Driven Convolutional Recurrent Models of the Visual System »
Aran Nayebi · Daniel Bear · Jonas Kubilius · Kohitij Kar · Surya Ganguli · David Sussillo · James J DiCarlo · Daniel Yamins -
2018 Poster: Bayesian Model-Agnostic Meta-Learning »
Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn -
2018 Poster: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding »
Nan Rosemary Ke · Anirudh Goyal · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio -
2018 Spotlight: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding »
Nan Rosemary Ke · Anirudh Goyal · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio -
2018 Spotlight: Bayesian Model-Agnostic Meta-Learning »
Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn -
2018 Poster: Relational recurrent neural networks »
Adam Santoro · Ryan Faulkner · David Raposo · Jack Rae · Mike Chrzanowski · Theophane Weber · Daan Wierstra · Oriol Vinyals · Razvan Pascanu · Timothy Lillicrap -
2018 Poster: Dendritic cortical microcircuits approximate the backpropagation algorithm »
João Sacramento · Rui Ponte Costa · Yoshua Bengio · Walter Senn -
2018 Oral: Dendritic cortical microcircuits approximate the backpropagation algorithm »
João Sacramento · Rui Ponte Costa · Yoshua Bengio · Walter Senn -
2017 : Panel Discussion »
Matt Botvinick · Emma Brunskill · Marcos Campos · Jan Peters · Doina Precup · David Silver · Josh Tenenbaum · Roy Fox -
2017 : Progress on Deep Reinforcement Learning with Temporal Abstraction (Doina Precup) »
Doina Precup -
2017 : Yoshua Bengio »
Yoshua Bengio -
2017 : Scalable RL and AlphaGo »
Timothy Lillicrap -
2017 : From deep learning of disentangled representations to higher-level cognition »
Yoshua Bengio -
2017 : Doina Precup »
Doina Precup -
2017 : Panel on "What neural systems can teach us about building better machine learning systems" »
Timothy Lillicrap · James J DiCarlo · Christopher Rozell · Viren Jain · Nathan Kutz · William Gray Roncal · Bingni Brunton -
2017 : More Steps towards Biologically Plausible Backprop »
Yoshua Bengio -
2017 : Backpropagation and deep learning in the brain »
Timothy Lillicrap -
2017 Workshop: Hierarchical Reinforcement Learning »
Andrew G Barto · Doina Precup · Shie Mannor · Tom Schaul · Roy Fox · Carlos Florensa -
2017 : A3T: Adversarially Augmented Adversarial Training »
Aristide Baratin · Simon Lacoste-Julien · Yoshua Bengio · Akram Erraqabi -
2017 : Competition III: The Conversational Intelligence Challenge »
Mikhail Burtsev · Ryan Lowe · Iulian Vlad Serban · Yoshua Bengio · Alexander Rudnicky · Alan W Black · Shrimai Prabhumoye · Artem Rodichev · Nikita Smetanin · Denis Fedorenko · CheongAn Lee · EUNMI HONG · Hwaran Lee · Geonmin Kim · Nicolas Gontier · Atsushi Saito · Andrey Gershfeld · Artem Burachenok -
2017 Poster: Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net »
Anirudh Goyal · Nan Rosemary Ke · Surya Ganguli · Yoshua Bengio -
2017 Poster: A simple neural network module for relational reasoning »
Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Timothy Lillicrap -
2017 Spotlight: A simple neural network module for relational reasoning »
Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Timothy Lillicrap -
2017 Demonstration: A Deep Reinforcement Learning Chatbot »
Iulian Vlad Serban · Chinnadhurai Sankar · Mathieu Germain · Saizheng Zhang · Zhouhan Lin · Sandeep Subramanian · Taesup Kim · Michael Pieper · Sarath Chandar · Nan Rosemary Ke · Sai Rajeswar Mudumba · Alexandre de Brébisson · Jose Sotelo · Dendi A Suhubdy · Vincent Michalski · Joelle Pineau · Yoshua Bengio -
2017 Poster: GibbsNet: Iterative Adversarial Inference for Deep Graphical Models »
Alex Lamb · R Devon Hjelm · Yaroslav Ganin · Joseph Paul Cohen · Aaron Courville · Yoshua Bengio -
2017 Poster: Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning »
Shixiang (Shane) Gu · Timothy Lillicrap · Richard Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine -
2017 Poster: Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice »
Jeffrey Pennington · Samuel Schoenholz · Surya Ganguli -
2017 Poster: Plan, Attend, Generate: Planning for Sequence-to-Sequence Models »
Caglar Gulcehre · Francis Dutil · Adam Trischler · Yoshua Bengio -
2017 Poster: Z-Forcing: Training Stochastic Recurrent Networks »
Anirudh Goyal · Alessandro Sordoni · Marc-Alexandre Côté · Nan Rosemary Ke · Yoshua Bengio -
2016 : Tim Lillicrap »
Timothy Lillicrap -
2016 : Yoshua Bengio – Credit assignment: beyond backpropagation »
Yoshua Bengio -
2016 : From Brains to Bits and Back Again »
Yoshua Bengio · Terrence Sejnowski · Christos H Papadimitriou · Jakob H Macke · Demis Hassabis · Alyson Fletcher · Andreas Tolias · Jascha Sohl-Dickstein · Konrad P Koerding -
2016 : Surya Ganguli : Deep Neural Models of the Retinal Response to Natural Stimuli »
Surya Ganguli -
2016 : Yoshua Bengio : Toward Biologically Plausible Deep Learning »
Yoshua Bengio -
2016 : Panel on "Explainable AI" (Yoshua Bengio, Alessio Lomuscio, Gary Marcus, Stephen Muggleton, Michael Witbrock) »
Yoshua Bengio · Alessio Lomuscio · Gary Marcus · Stephen H Muggleton · Michael Witbrock -
2016 : David Sussillo : LFADS - Latent Factor Analysis via Dynamical Systems »
David Sussillo -
2016 : Yoshua Bengio: From Training Low Precision Neural Nets to Training Analog Continuous-Time Machines »
Yoshua Bengio -
2016 : Non-convexity in the error landscape and the expressive capacity of deep neural networks »
Surya Ganguli -
2016 Workshop: The Future of Interactive Machine Learning »
Kory Mathewson @korymath · Kaushik Subramanian · Mark Ho · Robert Loftin · Joseph L Austerweil · Anna Harutyunyan · Doina Precup · Layla El Asri · Matthew Gombolay · Jerry Zhu · Sonia Chernova · Charles Isbell · Patrick M Pilarski · Weng-Keen Wong · Manuela Veloso · Julie A Shah · Matthew Taylor · Brenna Argall · Michael Littman -
2016 Symposium: Deep Learning Symposium »
Yoshua Bengio · Yann LeCun · Navdeep Jaitly · Roger Grosse -
2016 Poster: Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes »
Jack Rae · Jonathan J Hunt · Ivo Danihelka · Tim Harley · Andrew Senior · Gregory Wayne · Alex Graves · Timothy Lillicrap -
2016 Poster: Architectural Complexity Measures of Recurrent Neural Networks »
Saizheng Zhang · Yuhuai Wu · Tong Che · Zhouhan Lin · Roland Memisevic · Russ Salakhutdinov · Yoshua Bengio -
2016 Poster: Professor Forcing: A New Algorithm for Training Recurrent Networks »
Alex M Lamb · Anirudh Goyal · Ying Zhang · Saizheng Zhang · Aaron Courville · Yoshua Bengio -
2016 Poster: An Online Sequence-to-Sequence Model Using Partial Conditioning »
Navdeep Jaitly · Quoc V Le · Oriol Vinyals · Ilya Sutskever · David Sussillo · Samy Bengio -
2016 Poster: Exponential expressivity in deep neural networks through transient chaos »
Ben Poole · Subhaneil Lahiri · Maithra Raghu · Jascha Sohl-Dickstein · Surya Ganguli -
2016 Poster: On Multiplicative Integration with Recurrent Neural Networks »
Yuhuai Wu · Saizheng Zhang · Ying Zhang · Yoshua Bengio · Russ Salakhutdinov -
2016 Poster: An equivalence between high dimensional Bayes optimal inference and M-estimation »
Madhu Advani · Surya Ganguli -
2016 Poster: Binarized Neural Networks »
Itay Hubara · Matthieu Courbariaux · Daniel Soudry · Ran El-Yaniv · Yoshua Bengio -
2016 Poster: Matching Networks for One Shot Learning »
Oriol Vinyals · Charles Blundell · Timothy Lillicrap · koray kavukcuoglu · Daan Wierstra -
2016 Poster: Deep Learning Models of the Retinal Response to Natural Scenes »
Lane McIntosh · Niru Maheswaranathan · Aran Nayebi · Surya Ganguli · Stephen Baccus -
2015 : RL for DL »
Yoshua Bengio -
2015 : Learning Representations for Unsupervised and Transfer Learning »
Yoshua Bengio -
2015 Symposium: Deep Learning Symposium »
Yoshua Bengio · Marc'Aurelio Ranzato · Honglak Lee · Max Welling · Andrew Y Ng -
2015 Poster: Attention-Based Models for Speech Recognition »
Jan K Chorowski · Dzmitry Bahdanau · Dmitriy Serdyuk · Kyunghyun Cho · Yoshua Bengio -
2015 Poster: Equilibrated adaptive learning rates for non-convex optimization »
Yann Dauphin · Harm de Vries · Yoshua Bengio -
2015 Spotlight: Equilibrated adaptive learning rates for non-convex optimization »
Yann Dauphin · Harm de Vries · Yoshua Bengio -
2015 Spotlight: Attention-Based Models for Speech Recognition »
Jan K Chorowski · Dzmitry Bahdanau · Dmitriy Serdyuk · Kyunghyun Cho · Yoshua Bengio -
2015 Poster: Learning Continuous Control Policies by Stochastic Value Gradients »
Nicolas Heess · Gregory Wayne · David Silver · Timothy Lillicrap · Tom Erez · Yuval Tassa -
2015 Poster: Data Generation as Sequential Decision Making »
Philip Bachman · Doina Precup -
2015 Spotlight: Data Generation as Sequential Decision Making »
Philip Bachman · Doina Precup -
2015 Poster: Deep Knowledge Tracing »
Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas Guibas · Jascha Sohl-Dickstein -
2015 Poster: Basis refinement strategies for linear value function approximation in MDPs »
Gheorghe Comanici · Doina Precup · Prakash Panangaden -
2015 Poster: A Recurrent Latent Variable Model for Sequential Data »
Junyoung Chung · Kyle Kastner · Laurent Dinh · Kratarth Goel · Aaron Courville · Yoshua Bengio -
2015 Poster: BinaryConnect: Training Deep Neural Networks with binary weights during propagations »
Matthieu Courbariaux · Yoshua Bengio · Jean-Pierre David -
2015 Tutorial: Deep Learning »
Geoffrey E Hinton · Yoshua Bengio · Yann LeCun -
2014 Workshop: Second Workshop on Transfer and Multi-Task Learning: Theory meets Practice »
Urun Dogan · Tatiana Tommasi · Yoshua Bengio · Francesco Orabona · Marius Kloft · Andres Munoz · Gunnar Rätsch · Hal Daumé III · Mehryar Mohri · Xuezhi Wang · Daniel Hernández-lobato · Song Liu · Thomas Unterthiner · Pascal Germain · Vinay P Namboodiri · Michael Goetz · Christopher Berlind · Sigurd Spieckermann · Marta Soare · Yujia Li · Vitaly Kuznetsov · Wenzhao Lian · Daniele Calandriello · Emilie Morvant -
2014 Workshop: From Bad Models to Good Policies (Sequential Decision Making under Uncertainty) »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor · Jeremie Mary · Laurent Orseau · Thomas Dietterich · Ronald Ortner · Peter Grünwald · Joelle Pineau · Raphael Fonteneau · Georgios Theocharous · Esteban D Arcaute · Christos Dimitrakakis · Nan Jiang · Doina Precup · Pierre-Luc Bacon · Marek Petrik · Aviv Tamar -
2014 Workshop: Deep Learning and Representation Learning »
Andrew Y Ng · Yoshua Bengio · Adam Coates · Roland Memisevic · Sharanyan Chetlur · Geoffrey E Hinton · Shamim Nemati · Bryan Catanzaro · Surya Ganguli · Herbert Jaeger · Phil Blunsom · Leon Bottou · Volodymyr Mnih · Chen-Yu Lee · Rich M Schwartz -
2014 Workshop: OPT2014: Optimization for Machine Learning »
Zaid Harchaoui · Suvrit Sra · Alekh Agarwal · Martin Jaggi · Miro Dudik · Aaditya Ramdas · Jean Lasserre · Yoshua Bengio · Amir Beck -
2014 Poster: How transferable are features in deep neural networks? »
Jason Yosinski · Jeff Clune · Yoshua Bengio · Hod Lipson -
2014 Poster: Optimizing Energy Production Using Policy Search and Predictive State Representations »
Yuri Grinberg · Doina Precup · Michel Gendreau -
2014 Poster: Identifying and attacking the saddle point problem in high-dimensional non-convex optimization »
Yann N Dauphin · Razvan Pascanu · Caglar Gulcehre · Kyunghyun Cho · Surya Ganguli · Yoshua Bengio -
2014 Poster: Learning with Pseudo-Ensembles »
Philip Bachman · Ouais Alsharif · Doina Precup -
2014 Spotlight: Optimizing Energy Production Using Policy Search and Predictive State Representations »
Yuri Grinberg · Doina Precup · Michel Gendreau -
2014 Poster: Generative Adversarial Nets »
Ian Goodfellow · Jean Pouget-Abadie · Mehdi Mirza · Bing Xu · David Warde-Farley · Sherjil Ozair · Aaron Courville · Yoshua Bengio -
2014 Poster: On the Number of Linear Regions of Deep Neural Networks »
Guido F Montufar · Razvan Pascanu · Kyunghyun Cho · Yoshua Bengio -
2014 Demonstration: Neural Machine Translation »
Bart van Merriënboer · Kyunghyun Cho · Dzmitry Bahdanau · Yoshua Bengio -
2014 Oral: How transferable are features in deep neural networks? »
Jason Yosinski · Jeff Clune · Yoshua Bengio · Hod Lipson -
2014 Poster: Iterative Neural Autoregressive Distribution Estimator NADE-k »
Tapani Raiko · Yao Li · Kyunghyun Cho · Yoshua Bengio -
2013 Workshop: Deep Learning »
Yoshua Bengio · Hugo Larochelle · Russ Salakhutdinov · Tomas Mikolov · Matthew D Zeiler · David Mcallester · Nando de Freitas · Josh Tenenbaum · Jian Zhou · Volodymyr Mnih -
2013 Workshop: Output Representation Learning »
Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser -
2013 Poster: Learning from Limited Demonstrations »
Beomjoon Kim · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2013 Poster: Bellman Error Based Feature Generation using Random Projections on Sparse Spaces »
Mahdi Milani Fard · Yuri Grinberg · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2013 Spotlight: Learning from Limited Demonstrations »
Beomjoon Kim · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2013 Poster: Multi-Prediction Deep Boltzmann Machines »
Ian Goodfellow · Mehdi Mirza · Aaron Courville · Yoshua Bengio -
2013 Poster: Generalized Denoising Auto-Encoders as Generative Models »
Yoshua Bengio · Li Yao · Guillaume Alain · Pascal Vincent -
2013 Poster: A memory frontier for complex synapses »
Subhaneil Lahiri · Surya Ganguli -
2013 Poster: Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs »
Yann Dauphin · Yoshua Bengio -
2013 Oral: A memory frontier for complex synapses »
Subhaneil Lahiri · Surya Ganguli -
2012 Workshop: Deep Learning and Unsupervised Feature Learning »
Yoshua Bengio · James Bergstra · Quoc V. Le -
2012 Poster: Value Pursuit Iteration »
Amir-massoud Farahmand · Doina Precup -
2012 Poster: On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau -
2011 Workshop: Big Learning: Algorithms, Systems, and Tools for Learning at Scale »
Joseph E Gonzalez · Sameer Singh · Graham Taylor · James Bergstra · Alice Zheng · Misha Bilenko · Yucheng Low · Yoshua Bengio · Michael Franklin · Carlos Guestrin · Andrew McCallum · Alexander Smola · Michael Jordan · Sugato Basu -
2011 Workshop: Deep Learning and Unsupervised Feature Learning »
Yoshua Bengio · Adam Coates · Yann LeCun · Nicolas Le Roux · Andrew Y Ng -
2011 Oral: The Manifold Tangent Classifier »
Salah Rifai · Yann N Dauphin · Pascal Vincent · Yoshua Bengio · Xavier Muller -
2011 Poster: Shallow vs. Deep Sum-Product Networks »
Olivier Delalleau · Yoshua Bengio -
2011 Poster: The Manifold Tangent Classifier »
Salah Rifai · Yann N Dauphin · Pascal Vincent · Yoshua Bengio · Xavier Muller -
2011 Poster: Algorithms for Hyper-Parameter Optimization »
James Bergstra · Rémi Bardenet · Yoshua Bengio · Balázs Kégl -
2011 Poster: On Tracking The Partition Function »
Guillaume Desjardins · Aaron Courville · Yoshua Bengio -
2011 Poster: Reinforcement Learning using Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau -
2010 Workshop: Deep Learning and Unsupervised Feature Learning »
Honglak Lee · Marc'Aurelio Ranzato · Yoshua Bengio · Geoffrey E Hinton · Yann LeCun · Andrew Y Ng -
2010 Poster: Short-term memory in neuronal networks through dynamical compressed sensing »
Surya Ganguli · Haim Sompolinsky -
2009 Poster: Slow, Decorrelated Features for Pretraining Complex Cell-like Networks »
James Bergstra · Yoshua Bengio -
2009 Poster: An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism »
Aaron Courville · Douglas Eck · Yoshua Bengio -
2009 Session: Debate on Future Publication Models for the NIPS Community »
Yoshua Bengio -
2009 Poster: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton -
2009 Spotlight: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton -
2008 Poster: Bounding Performance Loss in Approximate MDP Homomorphisms »
Doina Precup · Jonathan Taylor Taylor · Prakash Panangaden -
2007 Poster: Augmented Functional Time Series Representation and Forecasting with Gaussian Processes »
Nicolas Chapados · Yoshua Bengio -
2007 Poster: Learning the 2-D Topology of Images »
Nicolas Le Roux · Yoshua Bengio · Pascal Lamblin · Marc Joliveau · Balázs Kégl -
2007 Spotlight: Augmented Functional Time Series Representation and Forecasting with Gaussian Processes »
Nicolas Chapados · Yoshua Bengio -
2007 Poster: Topmoumoute Online Natural Gradient Algorithm »
Nicolas Le Roux · Pierre-Antoine Manzagol · Yoshua Bengio -
2006 Poster: Greedy Layer-Wise Training of Deep Networks »
Yoshua Bengio · Pascal Lamblin · Dan Popovici · Hugo Larochelle -
2006 Talk: Greedy Layer-Wise Training of Deep Networks »
Yoshua Bengio · Pascal Lamblin · Dan Popovici · Hugo Larochelle