Chris Pal

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 70

Top Topics

Document Summarization

Systematic Evaluation

Tumor Segmentation

Reinforcement Learning

Top Venues

Medical Image Anal.

Publications

Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal
LLMs can learn self-restraint through iterative self-reflection. CoRR (2024)
Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Chris Pal
CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. CoRR (2024)
Nasim Rahaman, Martin Weiss, Manuel Wüthrich, Yoshua Bengio, Li Erran Li, Chris Pal, Bernhard Schölkopf
Language Models Can Reduce Asymmetry in Information Markets. CoRR (2024)
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy
Are Diffusion Models Vision-And-Language Reasoners? NeurIPS (2023)
Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin
Block-State Transformers. NeurIPS (2023)
Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR (2023)
Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal
Parallel-mentoring for Offline Model-based Optimization. NeurIPS (2023)
Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. NeurIPS (2022)
Mattie Tesfaldet, Derek Nowrouzezahrai, Chris Pal
Attention-based Neural Cellular Automata. NeurIPS (2022)
Alexandre Piché, Rafael Pardinas, David Vázquez, Igor Mordatch, Chris Pal
Implicit Offline Reinforcement Learning via Supervised Learning. CoRR (2022)
Nasim Rahaman, Martin Weiss, Frederik Träuble, Francesco Locatello, Alexandre Lacoste, Yoshua Bengio, Chris Pal, Li Erran Li, Bernhard Schölkopf
A General Purpose Neural Architecture for Geospatial Systems. CoRR (2022)
Nasim Rahaman, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
Neural Attentive Circuits. CoRR (2022)
Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
Neural Attentive Circuits. NeurIPS (2022)
Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal
Workflow Discovery from Dialogues in the Low Data Regime. CoRR (2022)
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. NeurIPS Datasets and Benchmarks (2021)
Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal
Structural Inductive Biases in Emergent Communication. CogSci (2021)
Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal
Learned Image Compression for Machine Perception. CoRR (2021)
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
Accounting for Variance in Machine Learning Benchmarks. MLSys (2021)
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
Accounting for Variance in Machine Learning Benchmarks. CoRR (2021)
Jikun Kang, Miao Liu, Abhinav Gupta, Chris Pal, Xue Liu, Jie Fu
Learning Multi-Objective Curricula for Deep Reinforcement Learning. CoRR (2021)
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT (2021)
Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai, Chris Pal
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning. NeurIPS (2020)
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 (2020)
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 (2020)
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
DuoRAT: Towards Simpler Text-to-SQL Models. CoRR (2020)
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)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. ACL (2020)
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 (2020)
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Chris Pal, Derek Nowrouzezahrai
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. NeurIPS (2020)
Jonathan Pilault, Raymond Li, Sandeep Subramanian, Chris Pal
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. EMNLP (1) (2020)
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. AAAI (2020)
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)
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn
Neural Multisensory Scene Inference. NeurIPS (2019)
Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R. Devon Hjelm, Yoshua Bengio, Chris Pal
On Adversarial Mixup Resynthesis. NeurIPS (2019)
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. CoRR (2019)
Simon Ramstedt, Chris Pal
Real-Time Reinforcement Learning. NeurIPS (2019)
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)
Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal
Probabilistic Planning with Sequential Monte Carlo methods. ICLR (Poster) (2019)
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)
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee
Towards Standardization of Data Licenses: The Montreal Data License. CoRR (2019)
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 (2019)
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio
Learning Neural Causal Models from Unknown Interventions. CoRR (2019)
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 (2019)
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 (2019)
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)
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Chris Pal
Unsupervised Depth Estimation, 3D Face Rotation and Replacement. NeurIPS (2018)
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
Towards Deep Conversational Recommendations. NeurIPS (2018)
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio
Twin Networks: Matching the Future for Sequence Generation. ICLR (Poster) (2018)
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 (2018)
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal
Fashion-Gen: The Generative Fashion Dataset and Challenge. CoRR (2018)
Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal
Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS (2018)
Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen
A Survey of Mobile Computing for the Visually Impaired. CoRR (2018)
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 (2018)
Eugene Vorontsov, An Tang, Chris Pal, Samuel Kadoury
Liver lesion segmentation informed by joint liver segmentation. ISBI (2018)
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. CoRR (2018)
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal
Towards Deep Conversational Recommendations. CoRR (2018)
Sandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville
Adversarial Generation of Natural Language. Rep4NLP@ACL (2017)
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)
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 (2017)
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Yoshua Bengio
Twin Networks: Using the Future as a Regularizer. CoRR (2017)
Anirudh Goyal, Nan Rosemary Ke, Alex Lamb, R. Devon Hjelm, Chris Pal, Joelle Pineau, Yoshua Bengio
ACtuAL: Actor-Critic Under Adversarial Learning. CoRR (2017)
Eugene Vorontsov, Gabriel Chartrand, An Tang, Chris Pal, Samuel Kadoury
Liver lesion segmentation informed by joint liver segmentation. CoRR (2017)
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 (2017)
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 (2017)
Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal
On orthogonality and learning recurrent networks with long term dependencies. CoRR (2017)
Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury, Chris Pal
On orthogonality and learning recurrent networks with long term dependencies. ICML (2017)
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal
The Importance of Skip Connections in Biomedical Image Segmentation. CoRR (2016)
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 (2016)
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal
The Importance of Skip Connections in Biomedical Image Segmentation. LABELS/DLMIA@MICCAI (2016)
Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville
Delving Deeper into Convolutional Networks for Learning Video Representations. ICLR (Poster) (2016)
Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin
A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI (2015)
David Rim, Sina Honari, Md. Kamrul Hasan, Chris Pal
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression. CoRR (2015)
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. CoRR (2015)
Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu
Semi-supervised classification with hybrid generative/discriminative methods. KDD (2007)
Xuerui Wang, Chris Pal, Andrew McCallum
Generalized component analysis for text with heterogeneous attributes. KDD (2007)
Daniel Scharstein, Chris Pal
Learning Conditional Random Fields for Stereo. CVPR (2007)
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Miller, R. Thomas Zoeller, David Kulp
gene expression in the mouse brain with image registration, feature extraction and block clustering. BMC Bioinform. 8 (S-10) (2007)
Pallika H. Kanani, Andrew McCallum, Chris Pal
Improving Author Coreference by Resource-Bounded Information Gathering from the Web. IJCAI (2007)
Patrick Baudisch, Desney S. Tan, Drew Steedly, Eric Rudolph, Matthew Uyttendaele, Chris Pal, Richard Szeliski
An Exploration of User Interface Designs for Real-Time Panoramic. Australas. J. Inf. Syst. 13 (2) (2006)
Chris Pal, Charles Sutton, Andrew McCallum
Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields. ICASSP (5) (2006)
Chris Pal
CC Prediction with Graphical Models. CEAS (2006)
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui Wang
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. AAAI (2006)
B. Michael Kelm, Chris Pal, Andrew McCallum
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. ICPR (2) (2006)
Chris Pal, Nebojsa Jojic
Interactive Montages of Sprites for Indexing and Summarizing Security Video. CVPR (2) (2005)
Patrick Baudisch, Desney S. Tan, Drew Steedly, Eric Rudolph, Matthew Uyttendaele, Chris Pal, Richard Szeliski
Panoramic viewfinder: providing a real-time preview to help users avoid flaws in panoramic pictures. OZCHI (2005)
Aseem Agarwala, Ke Colin Zheng, Chris Pal, Maneesh Agrawala, Michael F. Cohen, Brian Curless, David Salesin, Richard Szeliski
Panoramic video textures. ACM Trans. Graph. 24 (3) (2005)
Drew Steedly, Chris Pal, Richard Szeliski
Efficiently Registering Video into Panoramic Mosaics. ICCV (2005)
Chris Pal, Richard Szeliski, Matthew Uyttendaele, Nebojsa Jojic
Probability Models for High Dynamic Range Imaging. CVPR (2) (2004)
Chris Pal, Brendan J. Frey, Nebojsa Jojic
Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. ECCV (4) (2002)
Chris Pal, Brendan J. Frey, Trausti T. Kristjansson
Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation. ICASSP (2002)
Chris Pal
A technique for illustrating dynamic component level interactions within a software architecture. CASCON (1998)
I. Scott MacKenzie, R. William Soukoreff, Chris Pal
A Two-Ball Mouse Affords Three Degrees of Freedom. CHI Extended Abstracts (1997)