Yoshua Bengio
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
300
Venues
40
Active years
1988–2026
Best venue rank
A*
Where they publish
- A*ICLR91 papers
- A*ICML64 papers
- A*AAAI23 papers
- MulticonferenceICASSP19 papers
- A*ACL14 papers
- AInterspeech12 papers
- AAISTATS10 papers
- AUAI7 papers
- BIJCNN7 papers
- A*CVPR6 papers
- A*EMNLP4 papers
- BICPR4 papers
- A*ICCV3 papers
- BDCC3 papers
- AAIED2 papers
- A*ECCV2 papers
- A*IJCAI2 papers
- AMICCAI2 papers
- CICANN2 papers
- ANAACL2 papers
- CICPRAM2 papers
- AWACV1 paper
- CISCAS1 paper
- AEACL1 paper
- BCogSci1 paper
- BCPAIOR1 paper
- A*CCS1 paper
- A*ICRA1 paper
- A*ISCA1 paper
- ABMVC1 paper
- ACIKM1 paper
- AGECCO1 paper
- A*KDD1 paper
- BICMI1 paper
- BICONIP1 paper
- A*SIGIR1 paper
- BALT1 paper
- ADIS1 paper
- AustralasianAI1 paper
- CICEC1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Extendable Planning via Multiscale Diffusion. | Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Samyeul Noh, Yoshua Bengio, Sungjin Ahn |
| 2025 | ACL | Geometric Signatures of Compositionality Across a Language Model's Lifetime. | Jin Hwa Lee, Thomas Jiralerspong, Lei Yu, Yoshua Bengio, Emily Cheng |
| 2025 | AISTATS | Ant Colony Sampling with GFlowNets for Combinatorial Optimization. | Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio |
| 2025 | ICLR | Adaptive teachers for amortized samplers. | Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio |
| 2025 | ICLR | Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold. | Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov |
| 2025 | ICLR | Action abstractions for amortized sampling. | Oussama Boussif, Lna Nhale Ezzine, Joseph D. Viviano, Michal Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio |
| 2025 | ICLR | On the Transfer of Object-Centric Representation Learning. | Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael Curtis Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer |
| 2025 | ICLR | AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly. | Hongyu Guo, Yoshua Bengio, Shengchao Liu |
| 2025 | ICLR | Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. | Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain |
| 2025 | ICLR | HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. | Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang |
| 2025 | ICLR | Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets. | Zhen Liu, Tim Z. Xiao, Weiyang Liu, Yoshua Bengio, Dinghuai Zhang |
| 2025 | ICLR | MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. | Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio |
| 2025 | ICLR | Structure Language Models for Protein Conformation Generation. | Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang |
| 2025 | ICLR | Towards Improving Exploration through Sibling Augmented GFlowNets. | Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio |
| 2025 | ICLR | VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text. | Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio |
| 2025 | ICML | Rejecting Hallucinated State Targets during Planning. | Harry Zhao, Tristan Sylvain, Romain Laroche, Doina Precup, Yoshua Bengio |
| 2025 | ICML | Towards a Formal Theory of Representational Compositionality. | Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie |
| 2025 | ICML | Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models. | Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin |
| 2025 | ICML | Monte Carlo Tree Diffusion for System 2 Planning. | Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn |
| 2025 | ICML | AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. | Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham R. Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, Stephan Zheng |
| 2025 | WACV | EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision. | Diego A. Velzquez, Pau Rodrguez Lpez, Sergio Alonso, Josep M. Gonfaus, Jordi Gonzlez, Gerardo Richarte, Javier Marn, Yoshua Bengio, Alexandre Lacoste |
| 2025 | UAI | Can a Bayesian Oracle Prevent Harm from an Agent? | Yoshua Bengio, Michael K. Cohen, Nikolay Malkin, Matt MacDermott, Damiano Fornasiere, Pietro Greiner, Younesse Kaddar |
| 2025 | UAI | RL, but don't do anything I wouldn't do. | Michael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell |
| 2024 | AAAI | Regeneration Learning: A Learning Paradigm for Data Generation. | Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio |
| 2024 | AISTATS | Simulation-Free Schrdinger Bridges via Score and Flow Matching. | Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio |
| 2024 | ICLR | Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. | Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio |
| 2024 | ICLR | Cycle Consistency Driven Object Discovery. | Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio |
| 2024 | ICLR | Delta-AI: Local objectives for amortized inference in sparse graphical models. | Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio |
| 2024 | ICLR | Tree Cross Attention. | Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed |
| 2024 | ICLR | Amortizing intractable inference in large language models. | Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin |
| 2024 | ICLR | Expected flow networks in stochastic environments and two-player zero-sum games. | Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin |
| 2024 | ICLR | Local Search GFlowNets. | Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park |
| 2024 | ICLR | Object centric architectures enable efficient causal representation learning. | Amin Mansouri, Jason S. Hartford, Yan Zhang, Yoshua Bengio |
| 2024 | ICLR | Pre-Training and Fine-Tuning Generative Flow Networks. | Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio |
| 2024 | ICLR | Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization. | Dinghuai Zhang, Ricky T. Q. Chen, Cheng-Hao Liu, Aaron C. Courville, Yoshua Bengio |
| 2024 | ICLR | PhyloGFN: Phylogenetic inference with generative flow networks. | Ming-Yang Zhou, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio |
| 2024 | ICML | Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. | Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong |
| 2024 | ICML | Memory Efficient Neural Processes via Constant Memory Attention Block. | Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed |
| 2024 | ICML | Learning to Scale Logits for Temperature-Conditional GFlowNets. | Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio |
| 2024 | ICML | Improving Gradient-Guided Nested Sampling for Posterior Inference. | Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur |
| 2024 | ISCAS | BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. | Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos |
| 2024 | UAI | Discrete Probabilistic Inference as Control in Multi-path Environments. | Tristan Deleu, Padideh Nouri, Nikolay Malkin, Doina Precup, Yoshua Bengio |
| 2023 | AAAI | The Effect of Diversity in Meta-Learning. | Ramnath Kumar, Tristan Deleu, Yoshua Bengio |
| 2023 | AAAI | Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. | Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi |
| 2023 | EACL | Combining Parameter-efficient Modules for Task-level Generalisation. | Edoardo Maria Ponti, Alessandro Sordoni, Yoshua Bengio, Siva Reddy |
| 2023 | ICLR | Latent Bottlenecked Attentive Neural Processes. | Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed |
| 2023 | ICLR | Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. | Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio |
| 2023 | ICLR | GFlowNets and variational inference. | Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio |
| 2023 | ICLR | Generative Augmented Flow Networks. | Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio |
| 2023 | ICLR | Predictive Inference with Feature Conformal Prediction. | Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan |
| 2023 | ICLR | Latent State Marginalization as a Low-cost Approach for Improving Exploration. | Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen |
| 2023 | ICLR | Robust and Controllable Object-Centric Learning through Energy-based Models. | Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull |
| 2023 | ICML | Interventional Causal Representation Learning. | Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio |
| 2023 | ICML | FAENet: Frame Averaging Equivariant GNN for Materials Modeling. | Alexandre Duval, Victor Schmidt, Alex Hernndez-Garca, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick |
| 2023 | ICML | GFlowNet-EM for Learning Compositional Latent Variable Models. | Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio |
| 2023 | ICML | Multi-Objective GFlowNets. | Moksh Jain, Sharath Chandra Raparthy, Alex Hernndez-Garca, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio |
| 2023 | ICML | Equivariance with Learned Canonicalization Functions. | Skou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh |
| 2023 | ICML | Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning. | Sbastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand |
| 2023 | ICML | A theory of continuous generative flow networks. | Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernndez-Garca, Lna Nhale Ezzine, Yoshua Bengio, Nikolay Malkin |
| 2023 | ICML | GFlowOut: Dropout with Generative Flow Networks. | Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio |
| 2023 | ICML | Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. | Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin |
| 2023 | ICML | Better Training of GFlowNets with Local Credit and Incomplete Trajectories. | Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio |
| 2023 | ICML | Hyena Hierarchy: Towards Larger Convolutional Language Models. | Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher R |
| 2023 | ICML | Discrete Key-Value Bottleneck. | Frederik Truble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schlkopf |
| 2023 | UAI | Stochastic Generative Flow Networks. | Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio |
| 2023 | UAI | MixupE: Understanding and improving Mixup from directional derivative perspective. | Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi |
| 2022 | ICLR | Properties from mechanisms: an equivariance perspective on identifiable representation learning. | Kartik Ahuja, Jason S. Hartford, Yoshua Bengio |
| 2022 | ICLR | Continuous-Time Meta-Learning with Forward Mode Differentiation. | Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon |
| 2022 | ICLR | Graph Neural Networks with Learnable Structural and Positional Representations. | Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson |
| 2022 | ICLR | Coordination Among Neural Modules Through a Shared Global Workspace. | Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio |
| 2022 | ICLR | Compositional Attention: Disentangling Search and Retrieval. | Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie |
| 2022 | ICLR | Chunked Autoregressive GAN for Conditional Waveform Synthesis. | Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio |
| 2022 | ICLR | ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. | Victor Schmidt, Alexandra Luccioni, Mlisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernndez-Garca, Yoshua Bengio |
| 2022 | ICLR | Unifying Likelihood-free Inference with Black-box Optimization and Beyond. | Dinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron C. Courville |
| 2022 | ICML | Towards Scaling Difference Target Propagation by Learning Backprop Targets. | Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio |
| 2022 | ICML | Biological Sequence Design with GFlowNets. | Moksh Jain, Emmanuel Bengio, Alex Hernndez-Garca, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio |
| 2022 | ICML | Multi-scale Feature Learning Dynamics: Insights for Double Descent. | Mohammad Pezeshki, Amartya Mitra, Yoshua Bengio, Guillaume Lajoie |
| 2022 | ICML | Generative Flow Networks for Discrete Probabilistic Modeling. | Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio |
| 2022 | ICML | Building Robust Ensembles via Margin Boosting. | Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala |
| 2022 | UAI | Bayesian structure learning with generative flow networks. | Tristan Deleu, Antnio Gis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio |
| 2022 | UAI | Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL. | Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio |
| 2021 | AAAI | Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. | Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio |
| 2021 | AAAI | Visual Concept Reasoning Networks. | Taesup Kim, Sungwoong Kim, Yoshua Bengio |
| 2021 | AAAI | Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. | Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio |
| 2021 | AAAI | Object-Centric Image Generation from Layouts. | Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma |
| 2021 | AAAI | GraphMix: Improved Training of GNNs for Semi-Supervised Learning. | Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang |
| 2021 | AAAI | Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. | Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio |
| 2021 | AIED | A Comparative Study of Learning Outcomes for Online Learning Platforms. | Franois St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar |
| 2021 | AISTATS | Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. | Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio |
| 2021 | AISTATS | An Analysis of the Adaptation Speed of Causal Models. | Rmi Le Priol, Reza Babanezhad, Yoshua Bengio, Simon Lacoste-Julien |
| 2021 | ICASSP | CMIM: Cross-Modal Information Maximization For Medical Imaging. | Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio |
| 2021 | ICCV | FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters. | Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio |
| 2021 | ICLR | Systematic generalisation with group invariant predictions. | Faruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron C. Courville |
| 2021 | ICLR | CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. | Ossama Ahmed, Frederik Truble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schlkopf, Stefan Bauer |
| 2021 | ICLR | Predicting Infectiousness for Proactive Contact Tracing. | Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Mller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gatan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schlkopf, Abhinav Sharma, Jian Tang, Andrew Williams |
| 2021 | ICLR | Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments. | Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer |
| 2021 | ICLR | Recurrent Independent Mechanisms. | Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schlkopf |
| 2021 | ICLR | Fast And Slow Learning Of Recurrent Independent Mechanisms. | Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schlkopf, Yoshua Bengio |
| 2021 | ICLR | RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. | Meng Qu, Jun-Kun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang |
| 2021 | ICLR | Spatially Structured Recurrent Modules. | Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schlkopf |
| 2021 | ICLR | Saliency is a Possible Red Herring When Diagnosing Poor Generalization. | Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen |
| 2021 | ICLR | Learning Neural Generative Dynamics for Molecular Conformation Generation. | Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang |
| 2021 | ICML | An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. | Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gmez-Bombarelli, Jian Tang |
| 2021 | IJCNN | Combating False Negatives in Adversarial Imitation Learning. | Konrad Zolna, Chitwan Saharia, Lonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio |
| 2020 | AAAI | Combating False Negatives in Adversarial Imitation Learning (Student Abstract). | Konrad Zolna, Chitwan Saharia, Lonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio |
| 2020 | ACL | Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. | Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang |
| 2020 | ACL | Compositional Generalization by Factorizing Alignment and Translation. | Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio |
| 2020 | AIED | A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. | Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio |
| 2020 | AISTATS | On the interplay between noise and curvature and its effect on optimization and generalization. | Valentin Thomas, Fabian Pedregosa, Bart van Merrinboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux |
| 2020 | CogSci | Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. | Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio |
| 2020 | CPAIOR | A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs. | Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel, Sriram Sankaranarayanan |
| 2020 | CVPR | Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. | Md Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio |
| 2020 | ECCV | DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. | Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Bjrn Ommer, Joseph Paul Cohen |
| 2020 | EMNLP | Experience Grounds Language. | Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian |
| 2020 | ICASSP | Multi-Task Self-Supervised Learning for Robust Speech Recognition. | Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, Joo Monteiro, Jan Trmal, Yoshua Bengio |
| 2020 | ICLR | A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. | Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sbastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal |
| 2020 | ICLR | The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. | Anirudh Goyal, Yoshua Bengio, Matthew M. Botvinick, Sergey Levine |
| 2020 | ICLR | Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. | Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio |
| 2020 | ICLR | N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. | Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio |
| 2020 | ICLR | Learning the Arrow of Time for Problems in Reinforcement Learning. | Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio |
| 2020 | ICML | Revisiting Fundamentals of Experience Replay. | William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney |
| 2020 | ICML | Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. | Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio |
| 2020 | ICML | Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. | Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio |
| 2020 | ICML | Small-GAN: Speeding up GAN Training using Core-Sets. | Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena |
| 2020 | ICML | Perceptual Generative Autoencoders. | Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull |
| 2020 | ICPR | Attention Based Pruning for Shift Networks. | Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio |
| 2019 | AAAI | Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. | Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio |
| 2019 | AAAI | Combined Reinforcement Learning via Abstract Representations. | Vincent Franois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau |
| 2019 | ACL | Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. | Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio |
| 2019 | CCS | Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. | Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio |
| 2019 | EMNLP | Interactive Language Learning by Question Answering. | Xingdi Yuan, Marc-Alexandre Ct, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler |
| 2019 | ICASSP | Representation Mixing for TTS Synthesis. | Kyle Kastner, Joo Felipe Santos, Yoshua Bengio, Aaron C. Courville |
| 2019 | ICASSP | The Pytorch-kaldi Speech Recognition Toolkit. | Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio |
| 2019 | ICASSP | How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages? | Jessica A. F. Thompson, Marc Schnwiesner, Yoshua Bengio, Daniel Willett |
| 2019 | ICASSP | A Highly Adaptive Acoustic Model for Accurate Multi-dialect Speech Recognition. | Sanghyun Yoo, Inchul Song, Yoshua Bengio |
| 2019 | ICCV | Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. | Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor |
| 2019 | ICCV | Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. | Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang |
| 2019 | ICLR | BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. | Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio |
| 2019 | ICLR | Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. | Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla |
| 2019 | ICLR | Recall Traces: Backtracking Models for Efficient Reinforcement Learning. | Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio |
| 2019 | ICLR | InfoBot: Transfer and Exploration via the Information Bottleneck. | Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew M. Botvinick, Yoshua Bengio, Sergey Levine |
| 2019 | ICLR | Learning deep representations by mutual information estimation and maximization. | R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio |
| 2019 | ICLR | On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. | Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2019 | ICLR | h-detach: Modifying the LSTM Gradient Towards Better Optimization. | Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas, Yoshua Bengio |
| 2019 | ICLR | Modeling the Long Term Future in Model-Based Reinforcement Learning. | Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra |
| 2019 | ICLR | Quaternion Recurrent Neural Networks. | Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linars, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio |
| 2019 | ICLR | Probabilistic Planning with Sequential Monte Carlo methods. | Alexandre Pich, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal |
| 2019 | ICLR | An Empirical Study of Example Forgetting during Deep Neural Network Learning. | Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon |
| 2019 | ICLR | Deep Graph Infomax. | Petar Velickovic, William Fedus, William L. Hamilton, Pietro Li, Yoshua Bengio, R. Devon Hjelm |
| 2019 | ICLR | Perceptual Generative Autoencoders. | Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull |
| 2019 | ICML | State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. | Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer |
| 2019 | ICML | GMNN: Graph Markov Neural Networks. | Meng Qu, Yoshua Bengio, Jian Tang |
| 2019 | ICML | On the Spectral Bias of Neural Networks. | Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville |
| 2019 | ICML | Manifold Mixup: Better Representations by Interpolating Hidden States. | Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio |
| 2019 | IJCAI | Interpolation Consistency Training for Semi-supervised Learning. | Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz |
| 2019 | ICRA | A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. | Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull |
| 2019 | Interspeech | Speech Model Pre-Training for End-to-End Spoken Language Understanding. | Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio |
| 2019 | Interspeech | Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks. | Santiago Pascual, Mirco Ravanelli, Joan Serr, Antonio Bonafonte, Yoshua Bengio |
| 2019 | Interspeech | Learning Speaker Representations with Mutual Information. | Mirco Ravanelli, Yoshua Bengio |
| 2019 | MICCAI | InfoMask: Masked Variational Latent Representation to Localize Chest Disease. | Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio |
| 2018 | AAAI | Gated Orthogonal Recurrent Units: On Learning to Forget. | Li Jing, aglar Glehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio |
| 2018 | ACL | Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. | Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio |
| 2018 | ACL | Neural Models for Key Phrase Extraction and Question Generation. | Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio |
| 2018 | CVPR | On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. | Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio |
| 2018 | EMNLP | HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. | Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning |
| 2018 | ICANN | Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2018 | ICASSP | Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask. | Stylianos Ioannis Mimilakis, Konstantinos Drossos, Joo Felipe Santos, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio |
| 2018 | ICASSP | Towards End-to-end Spoken Language Understanding. | Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu, Yoshua Bengio |
| 2018 | ICASSP | Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models. | Inchul Song, Junyoung Chung, Taesup Kim, Yoshua Bengio |
| 2018 | ICLR | Boundary Seeking GANs. | R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio |
| 2018 | ICLR | Residual Connections Encourage Iterative Inference. | Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio |
| 2018 | ICLR | Finding Flatter Minima with SGD. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2018 | ICLR | FigureQA: An Annotated Figure Dataset for Visual Reasoning. | Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, kos Kdr, Adam Trischler, Yoshua Bengio |
| 2018 | ICLR | Universal Successor Representations for Transfer Reinforcement Learning. | Chen Ma, Junfeng Wen, Yoshua Bengio |
| 2018 | ICLR | Extending the Framework of Equilibrium Propagation to General Dynamics. | Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio |
| 2018 | ICLR | Twin Networks: Matching the Future for Sequence Generation. | Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio |
| 2018 | ICLR | ChatPainter: Improving Text to Image Generation using Dialogue. | Shikhar Sharma, Dendi Suhubdy, Vincent Michalski, Samira Ebrahimi Kahou, Yoshua Bengio |
| 2018 | ICLR | Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. | Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal |
| 2018 | ICLR | Deep Complex Networks. | Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joo Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal |
| 2018 | ICLR | Graph Attention Networks. | Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li, Yoshua Bengio |
| 2018 | ICLR | Fraternal Dropout. | Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio |
| 2018 | ICML | Mutual Information Neural Estimation. | Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville |
| 2018 | ICML | Focused Hierarchical RNNs for Conditional Sequence Processing. | Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal |
| 2018 | IJCNN | MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. | Konstantinos Drossos, Stylianos Ioannis Mimilakis, Dmitriy Serdyuk, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio |
| 2018 | Interspeech | Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. | Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges Linars, Renato de Mori, Yoshua Bengio |
| 2018 | Interspeech | Twin Regularization for Online Speech Recognition. | Mirco Ravanelli, Dmitriy Serdyuk, Yoshua Bengio |
| 2017 | AAAI | Denoising Criterion for Variational Auto-Encoding Framework. | Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio |
| 2017 | AAAI | Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. | Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville |
| 2017 | AAAI | A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. | Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio |
| 2017 | ACL | Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. | Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau |
| 2017 | CVPR | The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. | Simon Jgou, Michal Drozdzal, David Vzquez, Adriana Romero, Yoshua Bengio |
| 2017 | CVPR | Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. | Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski |
| 2017 | ICASSP | On random weights for texture generation in one layer CNNS. | Mihir Mongia, Kundan Kumar, Akram Erraqabi, Yoshua Bengio |
| 2017 | ICASSP | A network of deep neural networks for Distant Speech Recognition. | Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio |
| 2017 | ICLR | Understanding intermediate layers using linear classifier probes. | Guillaume Alain, Yoshua Bengio |
| 2017 | ICLR | An Actor-Critic Algorithm for Sequence Prediction. | Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICLR | Mode Regularized Generative Adversarial Networks. | Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li |
| 2017 | ICLR | Hierarchical Multiscale Recurrent Neural Networks. | Junyoung Chung, Sungjin Ahn, Yoshua Bengio |
| 2017 | ICLR | Mollifying Networks. | aglar Glehre, Marcin Moczulski, Francesco Visin, Yoshua Bengio |
| 2017 | ICLR | Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. | David Krueger, Tegan Maharaj, Jnos Kramr, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal |
| 2017 | ICLR | A Structured Self-Attentive Sentence Embedding. | Zhouhan Lin, Minwei Feng, Ccero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio |
| 2017 | ICLR | Towards an automatic Turing test: Learning to evaluate dialogue responses. | Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau |
| 2017 | ICLR | SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. | Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICLR | Generalizable Features From Unsupervised Learning. | Mehdi Mirza, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICLR | Diet Networks: Thin Parameters for Fat Genomics. | Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-Andr Legault, Marie-Pierre Dub, Julie G. Hussin, Yoshua Bengio |
| 2017 | ICLR | Char2Wav: End-to-End Speech Synthesis. | Jose Sotelo, Soroush Mehri, Kundan Kumar, Joo Felipe Santos, Kyle Kastner, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICLR | Improving Generative Adversarial Networks with Denoising Feature Matching. | David Warde-Farley, Yoshua Bengio |
| 2017 | ICML | A Closer Look at Memorization in Deep Networks. | Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien |
| 2017 | ICML | Sharp Minima Can Generalize For Deep Nets. | Laurent Dinh, Razvan Pascanu, Samy Bengio, Yoshua Bengio |
| 2017 | IJCNN | A robust adaptive stochastic gradient method for deep learning. | aglar Glehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio |
| 2017 | Interspeech | Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. | Taesup Kim, Inchul Song, Yoshua Bengio |
| 2017 | Interspeech | Improving Speech Recognition by Revising Gated Recurrent Units. | Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio |
| 2017 | ISCA | Towards more hardware-friendly deep learning. | Yoshua Bengio |
| 2016 | AAAI | Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. | Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau |
| 2016 | ACL | A Character-level Decoder without Explicit Segmentation for Neural Machine Translation. | Junyoung Chung, Kyunghyun Cho, Yoshua Bengio |
| 2016 | ACL | Pointing the Unknown Words. | aglar Glehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio |
| 2016 | ACL | Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. | Iulian Vlad Serban, Alberto Garca-Durn, aglar Glehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio |
| 2016 | BMVC | Oracle Performance for Visual Captioning. | Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio |
| 2016 | CVPR | ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. | Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville |
| 2016 | ICASSP | End-to-end attention-based large vocabulary speech recognition. | Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio |
| 2016 | ICASSP | Batch normalized recurrent neural networks. | Csar Laurent, Gabriel Pereyra, Philemon Brakel, Ying Zhang, Yoshua Bengio |
| 2016 | ICML | Unitary Evolution Recurrent Neural Networks. | Martn Arjovsky, Amar Shah, Yoshua Bengio |
| 2016 | ICML | Bidirectional Helmholtz Machines. | Jrg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio |
| 2016 | ICML | Noisy Activation Functions. | aglar Glehre, Marcin Moczulski, Misha Denil, Yoshua Bengio |
| 2016 | ICML | Deconstructing the Ladder Network Architecture. | Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio |
| 2016 | Interspeech | Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks. | Ying Zhang, Mohammad Pezeshki, Philmon Brakel, Saizheng Zhang, Csar Laurent, Yoshua Bengio, Aaron C. Courville |
| 2016 | MICCAI | HeMIS: Hetero-Modal Image Segmentation. | Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio |
| 2016 | NAACL | Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism. | Orhan Firat, Kyunghyun Cho, Yoshua Bengio |
| 2015 | ACL | On Using Very Large Target Vocabulary for Neural Machine Translation. | Sbastien Jean, KyungHyun Cho, Roland Memisevic, Yoshua Bengio |
| 2015 | CIKM | A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. | Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, Jian-Yun Nie |
| 2015 | ICML | Gated Feedback Recurrent Neural Networks. | Junyoung Chung, aglar Glehre, Kyunghyun Cho, Yoshua Bengio |
| 2015 | ICML | BilBOWA: Fast Bilingual Distributed Representations without Word Alignments. | Stephan Gouws, Yoshua Bengio, Greg Corrado |
| 2015 | ICML | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. | Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio |
| 2014 | AAAI | On the Challenges of Physical Implementations of RBMs. | Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio |
| 2014 | AAAI | Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. | Alessandro Sordoni, Yoshua Bengio, Jian-Yun Nie |
| 2014 | EMNLP | Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. | Kyunghyun Cho, Bart van Merrienboer, aglar Glehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio |
| 2014 | GECCO | Deep learning and cultural evolution. | Yoshua Bengio |
| 2014 | ICML | Deep Generative Stochastic Networks Trainable by Backprop. | Yoshua Bengio, Eric Laufer, Guillaume Alain, Jason Yosinski |
| 2014 | ICML | Marginalized Denoising Auto-encoders for Nonlinear Representations. | Minmin Chen, Kilian Q. Weinberger, Fei Sha, Yoshua Bengio |
| 2014 | KDD | Scaling up deep learning. | Yoshua Bengio |
| 2013 | AISTATS | Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions. | Heng Luo, Pierre Luc Carrier, Aaron C. Courville, Yoshua Bengio |
| 2013 | ICASSP | Advances in optimizing recurrent networks. | Yoshua Bengio, Nicolas Boulanger-Lewandowski, Razvan Pascanu |
| 2013 | ICASSP | High-dimensional sequence transduction. | Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent |
| 2013 | ICMI | Combining modality specific deep neural networks for emotion recognition in video. | Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, aglar Glehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sbastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu |
| 2013 | ICML | Better Mixing via Deep Representations. | Yoshua Bengio, Grgoire Mesnil, Yann N. Dauphin, Salah Rifai |
| 2013 | ICML | Maxout Networks. | Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron C. Courville, Yoshua Bengio |
| 2013 | ICML | On the difficulty of training recurrent neural networks. | Razvan Pascanu, Toms Mikolov, Yoshua Bengio |
| 2013 | ICONIP | Challenges in Representation Learning: A Report on Three Machine Learning Contests. | Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio |
| 2013 | ICPRAM | Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization. | Grgoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent |
| 2013 | ICPRAM | Unsupervised Learning of Semantics of Object Detections for Scene Categorization. | Grgoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent |
| 2013 | Interspeech | Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. | Grgoire Mesnil, Xiaodong He, Li Deng, Yoshua Bengio |
| 2013 | SIGIR | Modeling term dependencies with quantum language models for IR. | Alessandro Sordoni, Jian-Yun Nie, Yoshua Bengio |
| 2012 | ACL | Deep Learning for NLP (without Magic). | Richard Socher, Yoshua Bengio, Christopher D. Manning |
| 2012 | ECCV | Disentangling Factors of Variation for Facial Expression Recognition. | Salah Rifai, Yoshua Bengio, Aaron C. Courville, Pascal Vincent, Mehdi Mirza |
| 2012 | ICML | Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription. | Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent |
| 2012 | ICML | Large-Scale Feature Learning With Spike-and-Slab Sparse Coding. | Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio |
| 2012 | ICML | A Generative Process for Contractive Auto-Encoders. | Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio |
| 2011 | AAAI | Learning Structured Embeddings of Knowledge Bases. | Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio |
| 2011 | ALT | On the Expressive Power of Deep Architectures. | Yoshua Bengio, Olivier Delalleau |
| 2011 | DIS | On the Expressive Power of Deep Architectures. | Yoshua Bengio, Olivier Delalleau |
| 2011 | ICML | Unsupervised Models of Images by Spikeand-Slab RBMs. | Aaron C. Courville, James Bergstra, Yoshua Bengio |
| 2011 | ICML | Large-Scale Learning of Embeddings with Reconstruction Sampling. | Yann N. Dauphin, Xavier Glorot, Yoshua Bengio |
| 2011 | ICML | Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. | Xavier Glorot, Antoine Bordes, Yoshua Bengio |
| 2011 | ICML | Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. | Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio |
| 2010 | ACL | Word Representations: A Simple and General Method for Semi-Supervised Learning. | Joseph P. Turian, Lev-Arie Ratinov, Yoshua Bengio |
| 2009 | ICML | Curriculum learning. | Yoshua Bengio, Jrme Louradour, Ronan Collobert, Jason Weston |
| 2009 | ICML | Workshop summary: Workshop on learning feature hierarchies. | Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio |
| 2009 | NAACL | Quadratic Features and Deep Architectures for Chunking. | Joseph P. Turian, James Bergstra, Yoshua Bengio |
| 2008 | AAAI | Zero-data Learning of New Tasks. | Hugo Larochelle, Dumitru Erhan, Yoshua Bengio |
| 2008 | ICML | Classification using discriminative restricted Boltzmann machines. | Hugo Larochelle, Yoshua Bengio |
| 2008 | ICML | Extracting and composing robust features with denoising autoencoders. | Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol |
| 2007 | ICML | An empirical evaluation of deep architectures on problems with many factors of variation. | Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio |
| 2006 | AI | The | Nicolas Chapados, Yoshua Bengio |
| 2005 | AISTATS | Efficient Non-Parametric Function Induction in Semi-Supervised Learning. | Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux |
| 2005 | AISTATS | Hierarchical Probabilistic Neural Network Language Model. | Frederic Morin, Yoshua Bengio |
| 2005 | AISTATS | Greedy Spectral Embedding. | Marie Ouimet, Yoshua Bengio |
| 2004 | ACL | Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. | Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio |
| 2003 | AISTATS | Quick Training of Probabilistic Neural Nets by Importance Sampling. | Yoshua Bengio, Jean-Sbastien Senecal |
| 2000 | IJCNN | Continuous Optimization of Hyper-Parameters. | Yoshua Bengio |
| 2000 | IJCNN | Probabilistic Neural Network Models for Sequential Data. | Yoshua Bengio |
| 2000 | IJCNN | Bias Learning, Knowledge Sharing. | Joumana Ghosn, Yoshua Bengio |
| 2000 | IJCNN | A Neural Support Vector Network Architecture with Adaptive Kernels. | Pascal Vincent, Yoshua Bengio |
| 1999 | DCC | Binary Pseudowavelets and Applications to Bilevel Image Processing. | Steven Pigeon, Yoshua Bengio |
| 1998 | DCC | The Z-Coder Adaptive Binary Coder. | Lon Bottou, Paul G. Howard, Yoshua Bengio |
| 1998 | DCC | A Memory-Efficient Adaptive Huffman Coding Algorthm for Very Large Sets of Symbols. | Steven Pigeon, Yoshua Bengio |
| 1997 | CVPR | Global Training of Document Processing Systems Using Graph Transformer Networks. | Lon Bottou, Yoshua Bengio, Yann LeCun |
| 1997 | ICANN | AdaBoosting Neural Networks: Application to on-line Character Recognition. | Holger Schwenk, Yoshua Bengio |
| 1997 | ICASSP | Reading checks with multilayer graph transformer networks. | Yann LeCun, Lon Bottou, Yoshua Bengio |
| 1997 | Interspeech | Discriminative feature and model design for automatic speech recognition. | Mazin Rahim, Yoshua Bengio, Yann LeCun |
| 1994 | ICEC | Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks. | Samy Bengio, Yoshua Bengio, Jocelyn Cloutier |
| 1994 | ICPR | Word normalization for online handwritten word recognition. | Yoshua Bengio, Yann LeCun |
| 1994 | ICPR | An EM approach to grammatical inference: input/output HMMs. | Paolo Frasconi, Yoshua Bengio |
| 1994 | ICPR | Word-level training of a handwritten word recognizer based on convolutional neural networks. | Yann LeCun, Yoshua Bengio |
| 1991 | Interspeech | Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks. | Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe |
| 1991 | Interspeech | A comparative study on hybrid acoustic phonetic decoders based on artificial neural networks. | Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe |
| 1990 | ICASSP | A hybrid coder for hidden Markov models using a recurrent neural network. | Yoshua Bengio, Rgis Cardin, Renato De Mori, Yves Normandin |
| 1989 | ICASSP | Speech coding with multi-layer networks. | Yoshua Bengio, Rgis Cardin, Piero Cosi, Renato De Mori |
| 1989 | IJCAI | On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties. | Renato de Mori, Yoshua Bengio, Piero Cosi |
| 1988 | AAAI | Data-Driven Execution of Multi-Layered Networks for Automatic Speech Recognition. | Renato de Mori, Yoshua Bengio, Rgis Cardin |
| 1988 | ICASSP | Use of neural networks for the recognition of place of articulation. | Yoshua Bengio, Renato De Mori |