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ORCIDChristopher Joseph Pal
Christopher J. Pal – Chris Pal
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2020 – today
- 2020
[j19]Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant:
Leveraging cluster backbones for improving MAP inference in statistical relational models. Ann. Math. Artif. Intell. 88(8): 907-949 (2020)- [j18]Md. Kamrul Hasan, Christopher J. Pal:
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. ACM Trans. Knowl. Discov. Data 14(1): 1:1-1:28 (2020) - [j17]Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal:
Robust motion in-betweening. ACM Trans. Graph. 39(4): 60 (2020) - [c77]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. AAAI 2020: 8376-8383 - [c76]Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. ACL 2020: 2325-2338 - [c75]Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Anh Tuan Luu, Chris Pal:
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences. ACL 2020: 5369-5373 - [c74]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops 2020: 3989-3993 - [c73]Jonathan Pilault, Raymond Li, Sandeep Subramanian, Chris Pal:
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. EMNLP (1) 2020: 9308-9319 - [c72]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. ICLR 2020 - [c71]Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal:
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. ICLR 2020 - [c70]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. ICLR 2020 - [i73]Agnieszka Slowik, Abhinav Gupta
, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal:
Exploring Structural Inductive Biases in Emergent Communication. CoRR abs/2002.01335 (2020) - [i72]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. CoRR abs/2002.06583 (2020) - [i71]Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull:
Curriculum in Gradient-Based Meta-Reinforcement Learning. CoRR abs/2002.07956 (2020) - [i70]Jonathan Pilault, Jaehong Park, Christopher J. Pal:
On the impressive performance of randomly weighted encoders in summarization tasks. CoRR abs/2002.09084 (2020) - [i69]Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong:
Role-Wise Data Augmentation for Knowledge Distillation. CoRR abs/2004.08861 (2020) - [i68]Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang:
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR abs/2006.05164 (2020) - [i67]Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai:
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR abs/2006.13258 (2020) - [i66]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal:
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR abs/2007.02319 (2020) - [i65]Jonathan Pilault, Amine Elhattami, Christopher J. Pal:
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. CoRR abs/2009.09139 (2020) - [i64]Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas:
Reinforcement Learning with Random Delays. CoRR abs/2010.02966 (2020) - [i63]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. CoRR abs/2010.11119 (2020) - [i62]Jaehong Park, Jonathan Pilault, Christopher Joseph Pal:
Learning to Summarize Long Texts with Memory Compression and Transfer. CoRR abs/2010.11322 (2020) - [i61]Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams:
Predicting Infectiousness for Proactive Contact Tracing. CoRR abs/2010.12536 (2020) - [i60]Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio:
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR abs/2010.16004 (2020)
2010 – 2019
- 2019
- [c69]Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio:
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. ACL (1) 2019: 32-37 - [c68]Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull:
Active Domain Randomization. CoRL 2019: 1162-1176 - [c67]Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal:
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL 2019: 1314-1327 - [c66]Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar:
Dataflow-Based Joint Quantization for Deep Neural Networks. DCC 2019: 574 - [c65]Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Joseph Pal:
Structure Learning for Neural Module Networks. LANTERN@EMNLP-IJCNLP 2019: 1-10 - [c64]Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler:
Interactive Language Learning by Question Answering. EMNLP/IJCNLP (1) 2019: 2796-2813 - [c63]Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal:
Adversarial Mixup Resynthesizers. DGS@ICLR 2019 - [c62]Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal:
Probabilistic Planning with Sequential Monte Carlo methods. ICLR (Poster) 2019 - [c61]Simon Ramstedt, Chris Pal:
Real-Time Reinforcement Learning. NeurIPS 2019: 3067-3076 - [c60]Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R. Devon Hjelm, Yoshua Bengio, Chris Pal:
On Adversarial Mixup Resynthesis. NeurIPS 2019: 4348-4359 - [c59]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. NeurIPS 2019: 8994-9004 - [i59]Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar:
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR abs/1901.02064 (2019) - [i58]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i57]Glen Berseth, Christopher J. Pal:
Visual Imitation Learning with Recurrent Siamese Networks. CoRR abs/1901.07186 (2019) - [i56]Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal:
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. CoRR abs/1901.10912 (2019) - [i55]Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal:
Adversarial Mixup Resynthesizers. CoRR abs/1903.02709 (2019) - [i54]Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee:
Towards Standardization of Data Licenses: The Montreal Data License. CoRR abs/1903.12262 (2019) - [i53]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. CoRR abs/1904.01318 (2019) - [i52]Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull:
Active Domain Randomization. CoRR abs/1904.04762 (2019) - [i51]Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal:
Structure Learning for Neural Module Networks. CoRR abs/1905.11532 (2019) - [i50]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. CoRR abs/1905.12304 (2019) - [i49]Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar, Yoshua Bengio:
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. CoRR abs/1906.01603 (2019) - [i48]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
Fine-grained zero-shot recognition with metric rescaling. CoRR abs/1906.11892 (2019) - [i47]Evan Racah, Christopher J. Pal:
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments. CoRR abs/1906.11951 (2019) - [i46]Simon Guiroy, Vikas Verma, Christopher J. Pal:
Towards Understanding Generalization in Gradient-Based Meta-Learning. CoRR abs/1907.07287 (2019) - [i45]Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup:
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. CoRR abs/1908.00061 (2019) - [i44]Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai, Christopher J. Pal:
Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning. CoRR abs/1908.02269 (2019) - [i43]Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. CoRR abs/1908.10449 (2019) - [i42]Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler:
Interactive Language Learning by Question Answering. CoRR abs/1908.10909 (2019) - [i41]Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher J. Pal:
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. CoRR abs/1909.03186 (2019) - [i40]Vardaan Pahuja, Jie Fu, Christopher J. Pal:
Learning Sparse Mixture of Experts for Visual Question Answering. CoRR abs/1909.09192 (2019) - [i39]Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio:
Learning Neural Causal Models from Unknown Interventions. CoRR abs/1910.01075 (2019) - [i38]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. CoRR abs/1910.02344 (2019) - [i37]Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal:
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR abs/1910.13249 (2019) - [i36]Simon Ramstedt, Christopher J. Pal:
Real-Time Reinforcement Learning. CoRR abs/1911.04448 (2019) - 2018
- [j16]William E. Thong, Samuel Kadoury, Nicolas Piché, Christopher J. Pal:
Convolutional networks for kidney segmentation in contrast-enhanced CT scans. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 277-282 (2018) - [j15]Félix G. Harvey, Julien Roy, David Kanaa, Christopher Joseph Pal:
Recurrent semi-supervised classification and constrained adversarial generation with motion capture data. Image Vis. Comput. 78: 42-52 (2018) - [j14]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury:
Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Anal. 44: 1-13 (2018) - [c58]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz:
Improving Landmark Localization With Semi-Supervised Learning. CVPR 2018: 1546-1555 - [c57]Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio:
Twin Networks: Matching the Future for Sequence Generation. ICLR (Poster) 2018 - [c56]Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal:
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. ICLR (Poster) 2018 - [c55]Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal:
Deep Complex Networks. ICLR (Poster) 2018 - [c54]Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. ICML 2018: 2559-2568 - [c53]Eugene Vorontsov, An Tang, Chris Pal, Samuel Kadoury:
Liver lesion segmentation informed by joint liver segmentation. ISBI 2018: 1332-1335 - [c52]Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal:
Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS 2018: 7562-7574 - [c51]Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. NeurIPS 2018: 7651-7662 - [c50]Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal:
Towards Deep Conversational Recommendations. NeurIPS 2018: 9748-9758 - [c49]Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Chris Pal:
Unsupervised Depth Estimation, 3D Face Rotation and Replacement. NeurIPS 2018: 9759-9769 - [c48]Félix G. Harvey, Christopher J. Pal:
Recurrent transition networks for character locomotion. SIGGRAPH Asia Technical Briefs 2018: 4:1-4:4 - [i35]Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Christopher J. Pal:
Unsupervised Depth Estimation, 3D Face Rotation and Replacement. CoRR abs/1803.09202 (2018) - [i34]Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal:
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. CoRR abs/1804.00079 (2018) - [i33]Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. CoRR abs/1806.04342 (2018) - [i32]Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal:
Fashion-Gen: The Generative Fashion Dataset and Challenge. CoRR abs/1806.08317 (2018) - [i31]Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. CoRR abs/1809.03702 (2018) - [i30]Félix G. Harvey, Christopher J. Pal:
Recurrent Transition Networks for Character Locomotion. CoRR abs/1810.02363 (2018) - [i29]Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen:
A Survey of Mobile Computing for the Visually Impaired. CoRR abs/1811.10120 (2018) - [i28]Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal:
Towards Deep Conversational Recommendations. CoRR abs/1812.07617 (2018) - 2017
- [j13]Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele:
Movie Description. Int. J. Comput. Vis. 123(1): 94-120 (2017) - [j12]Eugene Vorontsov, An Tang, David Roy, Christopher J. Pal, Samuel Kadoury:
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Medical Biol. Eng. Comput. 55(1): 127-139 (2017) - [j11]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain tumor segmentation with Deep Neural Networks. Medical Image Anal. 35: 18-31 (2017) - [j10]Mohamed Hamza Ibrahim, Christopher Joseph Pal, Gilles Pesant:
Improving probabilistic inference in graphical models with determinism and cycles. Mach. Learn. 106(1): 1-54 (2017) - [c47]Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent:
RATM: Recurrent Attentive Tracking Model. CVPR Workshops 2017: 1613-1622 - [c46]Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron C. Courville, Christopher Joseph Pal:
A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. CVPR 2017: 7359-7368 - [c45]David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal:
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. ICLR (Poster) 2017 - [c44]Christopher Beckham, Christopher J. Pal:
Unimodal Probability Distributions for Deep Ordinal Classification. ICML 2017: 411-419 - [c43]Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal:
On orthogonality and learning recurrent networks with long term dependencies. ICML 2017: 3570-3578 - [c42]Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Prabhat, Chris Pal:
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. NIPS 2017: 3402-3413 - [c41]Sandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville:
Adversarial Generation of Natural Language. Rep4NLP@ACL 2017: 241-251 - [i27]Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal:
On orthogonality and learning recurrent networks with long term dependencies. CoRR abs/1702.00071 (2017) - [i26]Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury:
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. CoRR abs/1702.05174 (2017) - [i25]Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal:
Deep Complex Networks. CoRR abs/1705.09792 (2017) - [i24]Sai Rajeswar, Sandeep Subramanian, Francis Dutil, Christopher Joseph Pal, Aaron C. Courville:
Adversarial Generation of Natural Language. CoRR abs/1705.10929 (2017) - [i23]Christopher Beckham, Christopher Joseph Pal:
A step towards procedural terrain generation with GANs. CoRR abs/1707.03383 (2017) - [i22]Eugene Vorontsov, Gabriel Chartrand, An Tang, Chris Pal, Samuel Kadoury:
Liver lesion segmentation informed by joint liver segmentation. CoRR abs/1707.07734 (2017) - [i21]Yikang Shen, Shawn Tan, Christopher Joseph Pal, Aaron C. Courville:
Self-organized Hierarchical Softmax. CoRR abs/1707.08588 (2017) - [i20]Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Yoshua Bengio:
Twin Networks: Using the Future as a Regularizer. CoRR abs/1708.06742 (2017) - [i19]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Joseph Pal, Jan Kautz:
Improving Landmark Localization with Semi-Supervised Learning. CoRR abs/1709.01591 (2017) - [i18]Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. CoRR abs/1711.02326 (2017) - [i17]Anirudh Goyal, Nan Rosemary Ke, Alex Lamb, R. Devon Hjelm, Chris Pal, Joelle Pineau, Yoshua Bengio:
ACtuAL: Actor-Critic Under Adversarial Learning. CoRR abs/1711.04755 (2017) - 2016
- [j9]Chetan Bhole, Christopher Joseph Pal:
Fully automatic person segmentation in unconstrained video using spatio-temporal conditional random fields. Image Vis. Comput. 51: 58-68 (2016) - [j8]David Rim, Sina Honari, Md. Kamrul Hasan, Christopher J. Pal:
Improving facial analysis and performance driven animation through disentangling identity and expression. Image Vis. Comput. 52: 125-140 (2016) - [j7]Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher Joseph Pal, Yoshua Bengio:
EmoNets: Multimodal deep learning approaches for emotion recognition in video. J. Multimodal User Interfaces 10(2): 99-111 (2016) - [c40]Sina Honari, Jason Yosinski, Pascal Vincent, Christopher J. Pal:
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation. CVPR 2016: 5743-5752 - [c39]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. LABELS/DLMIA@MICCAI 2016: 179-187 - [c38]Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville:
Delving Deeper into Convolutional Networks for Learning Video Representations. ICLR (Poster) 2016 - [i16]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i15]Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele:
Movie Description. CoRR abs/1605.03705 (2016) - [i14]David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Aaron C. Courville, Chris Pal:
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. CoRR abs/1606.01305 (2016) - [i13]Joel Moniz, Christopher J. Pal:
Convolutional Residual Memory Networks. CoRR abs/1606.05262 (2016) - [i12]Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal:
The Importance of Skip Connections in Biomedical Image Segmentation. CoRR abs/1608.04117 (2016) - [i11]Tegan Maharaj, Nicolas Ballas, Aaron C. Courville, Christopher Joseph Pal:
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering. CoRR abs/1611.07810 (2016) - [i10]Christopher Beckham, Christopher J. Pal:
A simple squared-error reformulation for ordinal classification. CoRR abs/1612.00775 (2016) - [i9]Evan Racah, Christopher Beckham, Tegan Maharaj, Prabhat, Christopher J. Pal:
Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. CoRR abs/1612.02095 (2016) - 2015
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