Christopher Pal

Mila > À propos de Mila > Équipe > Christopher Pal
Membre Académique Principal
Christopher Pal
Professeur titulaire, École Polytechnique de Montréal
Christopher Pal

Intelligence artificielle, la vision par ordinateur, la reconnaissance de formes et l’apprentissage automatique avec des applications à l’infographie, l’analyse du langage naturel et l’exploration des données.

Publications

2021-06

Multi-Resolution Continuous Normalizing Flows.
Vikram Voleti, Chris Finlay, Adam M. Oberman and Christopher J. Pal
arXiv preprint arXiv:2106.08462
(2021-06-15)
dblp.uni-trier.dePDF
Beyond Target Networks: Improving Deep Q-learning with Functional Regularization.
Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal and Mohammad Emtiyaz Khan
arXiv preprint arXiv:2106.02613
(2021-06-04)
dblp.uni-trier.dePDF
DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries and Chris Pal

2021-05

Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai and Christopher Pal
(venue unknown)
(2021-05-04)
openreview.netPDF
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke, Aniket Rajiv Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Curtis Mozer, Yoshua Bengio and Christopher Pal
(venue unknown)
(2021-05-04)
openreview.netPDF
Dependency Structure Discovery from Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Bernhard Schölkopf, Michael Curtis Mozer, Hugo Larochelle, Christopher Pal and Yoshua Bengio
(venue unknown)
(2021-05-04)
openreview.netPDF
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer
Jonathan Pilault, Jaehong Park and Christopher Pal
(venue unknown)
(2021-05-04)
openreview.netPDF
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
Glen Berseth, Florian Golemo and Christopher Pal
(venue unknown)
(2021-05-04)
openreview.netPDF
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, victor schmidt, Pierre-luc St-charles, hannah alsdurf, Olexa Bilaniuk, david buckeridge, gaetan caron, pierre luc carrier, Joumana Ghosn, satya ortiz gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf... (3 more)
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault, Amine El hattami and Christopher Pal
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF
Reinforcement Learning with Random Delays
Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher Pal and Jonathan Binas
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF

2021-03

Accounting for Variance in Machine Learning Benchmarks
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 and Pascal Vincent
Fourth Conference on Machine Learning and Systems ( MLsys 2021)
(2021-03-15)
proceedings.mlsys.orgPDF[Also on arXiv preprint arXiv:2103.03098 (2021-03-01)]

2021-02

Autobots: Latent Variable Sequential Set Transformers.
Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Martin Weiss, Samira Ebrahimi Kahou, Felix Heide and Christopher Pal
arXiv: Robotics
(2021-02-19)
arxiv.orgPDF
Latent Variable Nested Set Transformers & AutoBots.
Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide and Christopher Pal
(venue unknown)
(2021-02-19)
dblp.uni-trier.dePDF

2020-11

Bijective-Contrastive Estimation
Jae Hyun Lim, Chin-Wei Huang, Aaron Courville and Christopher Pal
Third Symposium on Advances in Approximate Bayesian Inference
(2020-11-23)
openreview.netPDF
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Jonathan Pilault, Raymond Li, Sandeep Subramanian and Chris Pal
EMNLP 2020
(2020-11-01)
doi.orgPDF

2020-10

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
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... (9 more)
arXiv preprint arXiv:2010.16004
(2020-10-30)
ui.adsabs.harvard.eduPDF
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf... (3 more)
arXiv preprint arXiv:2010.12536
(2020-10-23)
ui.adsabs.harvard.eduPDF
Learning to Summarize Long Texts with Memory Compression and Transfer.
Jaehong Park, Jonathan Pilault and Christopher Joseph Pal
arXiv preprint arXiv:2010.11322
(2020-10-21)
dblp.uni-trier.dePDF
Reinforcement Learning with Random Delays
Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher Pal and Jonathan Binas
arXiv preprint arXiv:2010.02966
(2020-10-06)
ui.adsabs.harvard.eduPDF

2020-09

Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier, Koustuv Sinha, Siva Reddy and Christopher Pal
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault, Amine Elhattami and Christopher Pal
arXiv: Learning
(2020-09-19)
ui.adsabs.harvard.eduPDF

2020-08

Action-Based Representation Learning for Autonomous Driving
Yi Xiao, Felipe Codevilla, Christopher Pal and Antonio M. López
arXiv preprint arXiv:2008.09417
(2020-08-21)
ui.adsabs.harvard.eduPDF
Leveraging cluster backbones for improving MAP inference in statistical relational models
Mohamed Hamza Ibrahim, Christopher J. Pal and Gilles Pesant
Annals of Mathematics and Artificial Intelligence
(2020-08-01)
link.springer.com

2020-07

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim, Aaron Courville, Christopher Pal and Chin-Wei Huang
Robust motion in-betweening
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai and Christopher Pal
Interactive Machine Comprehension with Information Seeking Agents.
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal and Adam Trischler
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Anh Tuan Luu and Chris Pal
ACL 2020
(2020-07-01)
www.aclweb.orgPDF

2020-06

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert and Chris Pal
arXiv preprint arXiv:2007.02319
(2020-06-29)
ui.adsabs.harvard.eduPDF
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal and Derek Nowrouzezahrai
CLAREL: Classification via Retrieval Loss for Zero-Shot Learning
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro and Christopher J. Pal

2020-04

Reinforced active learning for image segmentation
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh and Christopher J. Pal
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Christian Rupprecht, Cyril Ibrahim and Christopher J. Pal
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sebastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
ICLR 2020
(2020-04-30)
iclr.ccPDF
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal and Jiancheng Lv

2020-03

Towards Understanding Generalization in Gradient-Based Meta-Learning
Simon Guiroy, Vikas Verma and Christopher J. Pal
arXiv preprint arXiv:1907.07287
(2020-03-25)
papyrus.bib.umontreal.caPDF

2020-02

On the impressive performance of randomly weighted encoders in summarization tasks.
Jonathan Pilault, Jaehong Park and Christopher J. Pal
arXiv preprint arXiv:2002.09084
(2020-02-21)
dblp.uni-trier.dePDF
Curriculum in Gradient-Based Meta-Reinforcement Learning.
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal and Liam Paull
arXiv preprint arXiv:2002.07956
(2020-02-19)
ui.adsabs.harvard.eduPDF
Exploring Structural Inductive Biases in Emergent Communication.
Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden and Christopher J. Pal
arXiv preprint arXiv:2002.01335
(2020-02-04)
ui.adsabs.harvard.eduPDF

2019-12

A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
Kamrul Hasan and Christopher Pal
ACM Transactions on Knowledge Discovery From Data
(2019-12-13)
dl.acm.org

2019-11

Real-Time Reinforcement Learning
Simon Ramstedt and Christopher J. Pal

2019-10

Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo and Chris Pal

2019-09

Mem2Mem: Learning to Summarize Long Texts with Memory-to-Memory Transfer
Jaehong Park, Jonathan Pilault and Christopher Pal
(venue unknown)
(2019-09-25)
openreview.netPDF
Retrieving Signals in the Frequency Domain with Deep Complex Extractors
Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh and Christopher J Pal
(venue unknown)
(2019-09-25)
openreview.netPDF
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai and Christopher Pal
Role-Wise Data Augmentation for Knowledge Distillation.
Jie Fu, Xue Geng, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Vijay Chandrasekhar and Chris Pal
arXiv preprint arXiv:2004.08861
(2019-09-25)
ui.adsabs.harvard.eduPDF
Learning Neural Causal Models from Unknown Interventions.
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stephan Bauer, Hugol Larochelle, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1910.01075
(2019-09-25)
ui.adsabs.harvard.eduPDF
Learning Sparse Mixture of Experts for Visual Question Answering
Vardaan Pahuja, Jie Fu and Christopher J. Pal
arXiv preprint arXiv:1909.09192
(2019-09-19)
ui.adsabs.harvard.eduPDF
Retrieving Signals with Deep Complex Extractors
Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh and Christopher J Pal
(venue unknown)
(2019-09-14)
openreview.netPDF
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.
Sandeep Subramanian, Raymond Li, Jonathan Pilault and Christopher Pal
arXiv preprint arXiv:1909.03186
(2019-09-07)
ui.adsabs.harvard.eduPDF

2019-08

Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio and Adam Trischler

2019-07

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal and Doina Precup
arXiv preprint arXiv:1908.00061
(2019-07-31)
ui.adsabs.harvard.eduPDF
On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault, Jaehong Park and Christopher Pal
ACL 2019
(2019-07-28)
dblp.uni-trier.de
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Christopher J. Pal, Sarath Chandar and Yoshua Bengio

2019-06

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah and Christopher J. Pal
arXiv: Learning
(2019-06-27)
ui.adsabs.harvard.eduPDF

2019-05

Fine-grained zero-shot recognition with metric rescaling.
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro and Christopher J. Pal
(venue unknown)
(2019-05-31)
dblp.uni-trier.dePDF
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal and Jiancheng Lv
(venue unknown)
(2019-05-29)
dblp.uni-trier.de
Structure Learning for Neural Module Networks.
Vardaan Pahuja, Jie Fu, Sarath Chandar and Christopher Joseph Pal

2019-04

Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal and Liam Paull

2019-03

Dataflow-Based Joint Quantization for Deep Neural Networks
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed Aly, Christopher Pal and Vijay Chandrasekhar
DCC 2019
(2019-03-26)
ieeexplore.ieee.org
Towards Standardization of Data Licenses: The Montreal Data License
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio and Alex Shee
arXiv preprint arXiv:1903.12262
(2019-03-21)
ui.adsabs.harvard.eduPDF
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases
Eugene Vorontsov, Milena Cerny, Philippe Régnier, Lisa Di Jorio, Christopher J. Pal, Réal Lapointe, Franck Vandenbroucke-Menu, Simon Turcotte, Samuel Kadoury and An Tang
Radiology: Artificial Intelligence
(2019-03-13)
www.ncbi.nlm.nih.gov
Adversarial Mixup Resynthesizers
Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm and Christopher J. Pal

2019-01

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal
arXiv preprint arXiv:1901.10912
(2019-01-30)
ui.adsabs.harvard.eduPDF
The Liver Tumor Segmentation Benchmark (LiTS)
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 Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkovà, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal... (39 more)
arXiv preprint arXiv:1901.04056
(2019-01-13)
ui.adsabs.harvard.eduPDF
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal and Vijay Chandrasekhar
arXiv preprint arXiv:1901.02064
(2019-01-04)
ui.adsabs.harvard.eduPDF
Neural Multisensory Scene Inference
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal and Sungjin Ahn
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex M. Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio and Chris Pal

2018-12

Recurrent transition networks for character locomotion
Félix G. Harvey and Christopher Pal
Deep Learning recognizes weather and climate patterns
K. Kashinath, M. Prabhat, M. Mudigonda, A. Mahesh, S. K. Kim, Y. Liu, S. Kahou, B. A. Toms, E. Racah, C. Beckham, C. Pal, T. Maharaj, J. Biard, K. Kunkel, D. N. Williams, T. A. O'Brien, M. F. Wehner and W. D. Collins
AGU Fall Meeting Abstracts
(2018-12-01)
ui.adsabs.harvard.edu
Towards Text Generation with Adversarially Learned Neural Outlines
Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron C. Courville and Chris Pal
NEURIPS 2018
(2018-12-01)
papers.nips.ccPDF

2018-11

A Survey of Mobile Computing for the Visually Impaired.
Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal and Joseph Paul Cohen
arXiv preprint arXiv:1811.10120
(2018-11-25)
ui.adsabs.harvard.eduPDF
Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin and Chris Pal

2018-10

Recurrent semi-supervised classification and constrained adversarial generation with motion capture data
Félix G. Harvey, Julien Roy, David Kanaa and Christopher Joseph Pal
Image and Vision Computing
(2018-10-01)
www.sciencedirect.com

2018-09

RNNs with Private and Shared Representations for Semi-Supervised Sequence Learning
Ge Ya Luo, Jie Fu, Pengfei Liu, Zhi Hao Luo and Chris Pal
(venue unknown)
(2018-09-27)
openreview.netPDF
Hiding Objects from Detectors: Exploring Transferrable Adversarial Patterns
Shangbang Long, Jie Fu and Chris Pal
(venue unknown)
(2018-09-27)
openreview.netPDF
Visualizing and Discovering Behavioural Weaknesses in Deep Reinforcement Learning
Christian Rupprecht, Cyril Ibrahim and Chris Pal
(venue unknown)
(2018-09-27)
openreview.netPDF
Visual Imitation Learning with Recurrent Siamese Networks.
Glen Berseth and Christopher J. Pal
arXiv preprint arXiv:1901.07186
(2018-09-27)
dblp.uni-trier.dePDF
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio and Chris Pal
ICLR 2018
(2018-09-27)
dblp.uni-trier.dePDF
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1809.03702
(2018-09-11)
ui.adsabs.harvard.eduPDF

2018-07

Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin and Christopher J. Pal

2018-06

Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin and Chris Pal
arXiv preprint arXiv:1806.08317
(2018-06-21)
dblp.uni-trier.dePDF
Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal and Jan Kautz
CVPR 2018
(2018-06-18)
ui.adsabs.harvard.eduPDF

2018-05

Convolutional networks for kidney segmentation in contrast-enhanced CT scans
William E. Thong, Samuel Kadoury, Nicolas Piché and Christopher J. Pal
Computer methods in biomechanics and biomedical engineering. Imaging & visualization
(2018-05-04)
www.tandfonline.com

2018-04

Liver lesion segmentation informed by joint liver segmentation
Eugene Vorontsov, An Tang, Chris Pal and Samuel Kadoury
ISBI 2018
(2018-04-04)
doi.orgPDF

2018-03

Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari and Christopher J. Pal

2018-02

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal and Yoshua Bengio
arXiv preprint arXiv:1711.02326
(2018-02-15)
ui.adsabs.harvard.eduPDF
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal and Yoshua Bengio
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio and Christopher J. Pal
Inferring Identity Factors for Grouped Examples
(venue unknown)
(2018-02-12)
PDF
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal and Samuel Kadoury
Medical Image Analysis
(2018-02-01)
europepmc.org

2018-01

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Nan Rosemary Ke, Anirudh Goyal Alias Parth Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal and Yoshua Bengio
NEURIPS 2018
(2018-01-01)
papers.nips.ccPDF

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