Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
June 2021
Microsoft Research & Mila
论文与出版物
论文与出版物
按年份分类的论文与出版物
-
-
Implicit Regularization in Deep Learning: A View from Function Space
Aristide Baratin, Thomas George, César Laurent, Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien
August 2020
Role-Wise Data Augmentation For Knowledge Distillation
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
April 2020
-
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Neural Information Processing Systems (NeurIPS) | December 2019
Oral Presentation
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
September 2019
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville
ICLR 2019 | May 2019
ICLR 2019 Best Paper Award
Deep Graph Infomax
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, Devon Hjelm
ICLR 2019 | May 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
Learning deep representations by mutual information estimation and maximization
Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
ICLR 2019 | April 2019
-
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
Jackie Chi Kit Cheung, Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz
Critiquing and Correcting Trends in Machine Learning NeurIPS 2018 Workshop | December 2018
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami , Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2018
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair
European Workshop for Reinforcement Learning (EWRL) | October 2018
-
FigureQA: An annotated figure dataset for visual reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Akos Kadar, Adam Trischler, Yoshua Bengio
Visually grounded interaction and language workshop, NIPS 2017 | December 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Caglar Gulcehre, Francis Dutil, Adam Trischler, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017) | December 2017
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017 – Advances in Neural Information Processing Systems) | November 2017
Variational Bi-LSTMs
Samira Shabanian, Devansh Arpit, Adam Trischler, Yoshua Bengio
Machine Learning | November 2017
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
Thirthy-Second AAAI Conference On Artificial Intelligence (AAAI), 2018 | September 2017
按研究领域分类的论文与出版物
-
Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
June 2021
Implicit Regularization in Deep Learning: A View from Function Space
Aristide Baratin, Thomas George, César Laurent, Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien
August 2020
Role-Wise Data Augmentation For Knowledge Distillation
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
April 2020
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Neural Information Processing Systems (NeurIPS) | December 2019
Oral Presentation
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
September 2019
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville
ICLR 2019 | May 2019
ICLR 2019 Best Paper Award
Deep Graph Infomax
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, Devon Hjelm
ICLR 2019 | May 2019
Learning deep representations by mutual information estimation and maximization
Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
ICLR 2019 | April 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
Jackie Chi Kit Cheung, Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz
Critiquing and Correcting Trends in Machine Learning NeurIPS 2018 Workshop | December 2018
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami , Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2018
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair
European Workshop for Reinforcement Learning (EWRL) | October 2018
FigureQA: An annotated figure dataset for visual reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Akos Kadar, Adam Trischler, Yoshua Bengio
Visually grounded interaction and language workshop, NIPS 2017 | December 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Caglar Gulcehre, Francis Dutil, Adam Trischler, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017) | December 2017
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017 – Advances in Neural Information Processing Systems) | November 2017
Variational Bi-LSTMs
Samira Shabanian, Devansh Arpit, Adam Trischler, Yoshua Bengio
Machine Learning | November 2017
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
Thirthy-Second AAAI Conference On Artificial Intelligence (AAAI), 2018 | September 2017
-
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
-
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
-
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
FigureQA: An annotated figure dataset for visual reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Akos Kadar, Adam Trischler, Yoshua Bengio
Visually grounded interaction and language workshop, NIPS 2017 | December 2017
-
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
按类型分类的论文与出版物
-
Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
June 2021
Implicit Regularization in Deep Learning: A View from Function Space
Aristide Baratin, Thomas George, César Laurent, Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien
August 2020
Role-Wise Data Augmentation For Knowledge Distillation
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
April 2020
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
September 2019
-
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Neural Information Processing Systems (NeurIPS) | December 2019
Oral Presentation
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville
ICLR 2019 | May 2019
ICLR 2019 Best Paper Award
Deep Graph Infomax
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, Devon Hjelm
ICLR 2019 | May 2019
Learning deep representations by mutual information estimation and maximization
Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
ICLR 2019 | April 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
Jackie Chi Kit Cheung, Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz
Critiquing and Correcting Trends in Machine Learning NeurIPS 2018 Workshop | December 2018
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami , Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2018
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair
European Workshop for Reinforcement Learning (EWRL) | October 2018
FigureQA: An annotated figure dataset for visual reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Akos Kadar, Adam Trischler, Yoshua Bengio
Visually grounded interaction and language workshop, NIPS 2017 | December 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Caglar Gulcehre, Francis Dutil, Adam Trischler, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017) | December 2017
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017 – Advances in Neural Information Processing Systems) | November 2017
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
Thirthy-Second AAAI Conference On Artificial Intelligence (AAAI), 2018 | September 2017
-
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
-
Variational Bi-LSTMs
Samira Shabanian, Devansh Arpit, Adam Trischler, Yoshua Bengio
Machine Learning | November 2017