Aaron C. Courville
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
121
Venues
24
Active years
2007–2025
Best venue rank
A*
Where they publish
- A*ICLR42 papers
- A*ICML31 papers
- A*AAAI6 papers
- A*EMNLP5 papers
- A*ECCV4 papers
- A*ACL4 papers
- A*CVPR4 papers
- A*ICCV4 papers
- ABMVC3 papers
- UnrankedCoRL2 papers
- ANAACL2 papers
- AAISTATS2 papers
- CEvoMUSART1 paper
- BICPR1 paper
- AAIED1 paper
- MulticonferenceICASSP1 paper
- AIROS1 paper
- AUAI1 paper
- A*IJCAI1 paper
- BESANN1 paper
- AInterspeech1 paper
- ARecSys1 paper
- BICMI1 paper
- BICONIP1 paper
Papers
121 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Advantage Alignment Algorithms. | Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron C. Courville |
| 2025 | ICLR | Forgetting Transformer: Softmax Attention with a Forget Gate. | Zhixuan Lin, Evgenii Nikishin, Xu Owen He, Aaron C. Courville |
| 2025 | ICLR | Neuroplastic Expansion in Deep Reinforcement Learning. | Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan |
| 2025 | ICLR | Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models. | Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville |
| 2025 | ICLR | Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL. | Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro |
| 2025 | ICLR | Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study. | Shawn Tan, Songlin Yang, Aaron C. Courville, Rameswar Panda, Yikang Shen |
| 2025 | ICML | VinePPO: Refining Credit Assignment in RL Training of LLMs. | Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux |
| 2025 | ICML | The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning. | Jiashun Liu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan |
| 2025 | ICML | The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks. | Walter Mayor, Johan S. Obando-Ceron, Aaron C. Courville, Pablo Samuel Castro |
| 2025 | ICML | Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. | Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth |
| 2025 | ICML | FLAM: Frame-Wise Language-Audio Modeling. | Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron C. Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon |
| 2024 | ECCV | SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. | Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville |
| 2024 | ECCV | SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. | Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville |
| 2024 | ICLR | LOQA: Learning with Opponent Q-Learning Awareness. | Milad Aghajohari, Juan Agustin Duque, Tim Cooijmans, Aaron C. Courville |
| 2024 | ICLR | The Curse of Diversity in Ensemble-Based Exploration. | Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville |
| 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 | ICML | Modeling Caption Diversity in Contrastive Vision-Language Pretraining. | Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas |
| 2024 | ICML | In value-based deep reinforcement learning, a pruned network is a good network. | Johan S. Obando-Ceron, Aaron C. Courville, Pablo Samuel Castro |
| 2024 | ICML | Adaptive Accompaniment with ReaLchords. | Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang |
| 2023 | EMNLP | Sparse Universal Transformer. | Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan |
| 2023 | EvoMUSART | SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders. | Kyle Kastner, Tim Cooijmans, Yusong Wu, Aaron C. Courville |
| 2023 | ICLR | Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier. | Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville |
| 2023 | ICLR | Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. | Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville |
| 2023 | ICLR | Generative Augmented Flow Networks. | Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio |
| 2023 | ICLR | Investigating Multi-task Pretraining and Generalization in Reinforcement Learning. | Adrien Ali Taga, Rishabh Agarwal, Jesse Farebrother, Aaron C. Courville, Marc G. Bellemare |
| 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 | ICML | Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. | Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Pich, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste |
| 2023 | ICML | Bigger, Better, Faster: Human-level Atari with human-level efficiency. | Max Schwarzer, Johan S. Obando-Ceron, Aaron C. Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro |
| 2022 | ACL | Unsupervised Dependency Graph Network. | Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville |
| 2022 | BMVC | Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. | Sai Rajeswar, Issam Hadj Laradji, Pau Rodrguez, David Vzquez, Aaron C. Courville |
| 2022 | CVPR | Multi-label Iterated Learning for Image Classification with Label Ambiguity. | Sai Rajeswar, Pau Rodrguez, Soumye Singhal, David Vzquez, Aaron C. Courville |
| 2022 | ICLR | DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization. | Aviral Kumar, Rishabh Agarwal, Tengyu Ma, Aaron C. Courville, George Tucker, Sergey Levine |
| 2022 | ICLR | Chunked Autoregressive GAN for Conditional Waveform Synthesis. | Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio |
| 2022 | ICLR | Learning to Dequantise with Truncated Flows. | Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville |
| 2022 | ICLR | MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. | Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel |
| 2022 | ICLR | Unifying Likelihood-free Inference with Black-box Optimization and Beyond. | Dinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron C. Courville |
| 2022 | ICLR | Fortuitous Forgetting in Connectionist Networks. | Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville |
| 2022 | ICML | The Primacy Bias in Deep Reinforcement Learning. | Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville |
| 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 | ICPR | Cascaded Video Generation for Videos In-the-Wild. | Llus Castrejn, Nicolas Ballas, Aaron C. Courville |
| 2021 | ACL | StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. | Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville |
| 2021 | CoRL | Haptics-based Curiosity for Sparse-reward Tasks. | Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vzquez, Aaron C. Courville, Pedro O. Pinheiro |
| 2021 | ICCV | Generative Compositional Augmentations for Scene Graph Prediction. | Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky |
| 2021 | ICLR | Systematic generalisation with group invariant predictions. | Faruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron C. Courville |
| 2021 | ICLR | Neural Approximate Sufficient Statistics for Implicit Models. | Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron C. Courville, Zhanxing Zhu |
| 2021 | ICLR | Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. | Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville |
| 2021 | ICLR | Integrating Categorical Semantics into Unsupervised Domain Translation. | Samuel Lavoie-Marchildon, Faruk Ahmed, Aaron C. Courville |
| 2021 | ICLR | Learning Task Decomposition with Ordered Memory Policy Network. | Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan |
| 2021 | ICLR | Data-Efficient Reinforcement Learning with Self-Predictive Representations. | Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman |
| 2021 | ICLR | Iterated learning for emergent systematicity in VQA. | Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville |
| 2021 | ICML | Out-of-Distribution Generalization via Risk Extrapolation (REx). | David Krueger, Ethan Caballero, Jrn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Rmi Le Priol, Aaron C. Courville |
| 2021 | ICML | Continuous Coordination As a Realistic Scenario for Lifelong Learning. | Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron C. Courville, Sarath Chandar |
| 2021 | ICML | Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? | Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville |
| 2021 | NAACL | Understanding by Understanding Not: Modeling Negation in Language Models. | Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville |
| 2021 | NAACL | Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. | Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville |
| 2020 | AAAI | Detecting Semantic Anomalies. | Faruk Ahmed, Aaron C. Courville |
| 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 | Stochastic Neural Network with Kronecker Flow. | Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville |
| 2020 | BMVC | Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. | Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky |
| 2020 | EMNLP | Supervised Seeded Iterated Learning for Interactive Language Learning. | Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville |
| 2020 | EMNLP | Recursive Top-Down Production for Sentence Generation with Latent Trees. | Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell |
| 2020 | ICLR | On Bonus Based Exploration Methods In The Arcade Learning Environment. | Adrien Ali Taga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare |
| 2020 | ICML | AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. | Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang |
| 2020 | ICML | Countering Language Drift with Seeded Iterated Learning. | Yuchen Lu, Soumye Singhal, Florian Strub, Aaron C. Courville, Olivier Pietquin |
| 2019 | BMVC | VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. | Catalina Cangea, Eugene Belilovsky, Aaron C. Courville |
| 2019 | ICASSP | Representation Mixing for TTS Synthesis. | Kyle Kastner, Joo Felipe Santos, Yoshua Bengio, Aaron C. Courville |
| 2019 | ICCV | Batch Weight for Domain Adaptation With Mass Shift. | Mikolaj Binkowski, R. Devon Hjelm, Aaron C. Courville |
| 2019 | ICCV | Improved Conditional VRNNs for Video Prediction. | Llus Castrejn, Nicolas Ballas, Aaron C. Courville |
| 2019 | ICLR | Systematic Generalization: What Is Required and Can It Be Learned? | Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville |
| 2019 | ICLR | Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. | Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville |
| 2019 | ICML | Hierarchical Importance Weighted Autoencoders. | Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville |
| 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 | IROS | Deep Generative Modeling of LiDAR Data. | Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau |
| 2019 | UAI | Probability Distillation: A Caveat and Alternatives. | Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville |
| 2018 | AAAI | FiLM: Visual Reasoning with a General Conditioning Layer. | Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville |
| 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 | CoRL | Sim-to-Real Transfer with Neural-Augmented Robot Simulation. | Florian Golemo, Adrien Ali Taga, Aaron C. Courville, Pierre-Yves Oudeyer |
| 2018 | ECCV | Visual Reasoning with Multi-hop Feature Modulation. | Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jrmie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin |
| 2018 | ICLR | HoME: a Household Multimodal Environment. | Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron C. Courville |
| 2018 | ICLR | Neural Language Modeling by Jointly Learning Syntax and Lexicon. | Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville |
| 2018 | ICML | Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. | Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville |
| 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 | Neural Autoregressive Flows. | Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville |
| 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 | CVPR | A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. | Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron C. Courville, Christopher Joseph Pal |
| 2017 | CVPR | GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. | Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville |
| 2017 | EMNLP | Piecewise Latent Variables for Neural Variational Text Processing. | Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville |
| 2017 | EMNLP | Piecewise Latent Variables for Neural Variational Text Processing. | Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville |
| 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 | Recurrent Batch Normalization. | Tim Cooijmans, Nicolas Ballas, Csar Laurent, aglar Glehre, Aaron C. Courville |
| 2017 | ICLR | Calibrating Energy-based Generative Adversarial Networks. | Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard H. Hovy, Aaron C. Courville |
| 2017 | ICLR | Adversarially Learned Inference. | Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martn Arjovsky, Olivier Mastropietro, Aaron C. Courville |
| 2017 | ICLR | PixelVAE: A Latent Variable Model for Natural Images. | Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taga, Francesco Visin, David Vzquez, Aaron C. Courville |
| 2017 | ICLR | Deep Nets Don't Learn via Memorization. | David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville |
| 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 | 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 | Char2Wav: End-to-End Speech Synthesis. | Jose Sotelo, Soroush Mehri, Kundan Kumar, Joo Felipe Santos, Kyle Kastner, Aaron C. Courville, 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 | IJCAI | End-to-end optimization of goal-driven and visually grounded dialogue systems. | Florian Strub, Harm de Vries, Jrmie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin |
| 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 | 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 | 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 | ESANN | Deep Learning Vector Quantization. | Harm de Vries, Roland Memisevic, Aaron C. Courville |
| 2016 | ICML | Dynamic Capacity Networks. | Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville |
| 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 |
| 2015 | ICCV | Describing Videos by Exploiting Temporal Structure. | Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville |
| 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 |
| 2015 | RecSys | Learning Distributed Representations from Reviews for Collaborative Filtering. | Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville |
| 2014 | AAAI | On the Challenges of Physical Implementations of RBMs. | Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, 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 | 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 | Maxout Networks. | Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron C. Courville, 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 |
| 2012 | ECCV | Disentangling Factors of Variation for Facial Expression Recognition. | Salah Rifai, Yoshua Bengio, Aaron C. Courville, Pascal Vincent, Mehdi Mirza |
| 2012 | ICML | Large-Scale Feature Learning With Spike-and-Slab Sparse Coding. | Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio |
| 2011 | ICML | Unsupervised Models of Images by Spikeand-Slab RBMs. | Aaron C. Courville, James Bergstra, Yoshua Bengio |
| 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 |