Adam Trischler

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 88

Top Topics

Top Venues

Publications

Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective. ACL (Findings) (2024)
Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, Jie Fu
Think Before You Act: Decision Transformers with Internal Working Memory. CoRR (2023)
Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
Joint Prompt Optimization of Stacked LLMs using Variational Inference. NeurIPS (2023)
Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. CoRR (2023)
Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources. ACL (1) (2023)
Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
Investigating Failures to Generalize for Coreference Resolution Models. CoRR (2023)
Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference. CoRR (2023)
Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. EMNLP (Findings) (2023)
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT (2022)
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR (2022)
Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems. CoRR (2022)
Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
Modeling Event Plausibility with Consistent Conceptual Abstraction. NAACL-HLT (2021)
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
An Empirical Study on Neural Keyphrase Generation. NAACL-HLT (2021)
Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
ADEPT: An Adjective-Dependent Plausibility Task. ACL/IJCNLP (1) (2021)
Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
Modeling Event Plausibility with Consistent Conceptual Abstraction. CoRR (2021)
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. ICLR (2021)
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
An Empirical Study on Neural Keyphrase Generation. CoRR (2020)
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases. ACL (2020)
Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
An Analysis of Dataset Overlap on Winograd-Style Tasks. CoRR (2020)
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. CoRR (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS (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)
Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. CoRR (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR (2020)
Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. EMNLP (1) (2020)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. ACL (2020)
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
Exploring and Predicting Transferability across NLP Tasks. CoRR (2020)
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) (2020)
Ali Emami, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
An Analysis of Dataset Overlap on Winograd-Style Tasks. COLING (2020)
Abhilasha Ravichander, Eduard H. Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT. *SEM@COLING (2020)
R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
Learning deep representations by mutual information estimation and maximization. ICLR (2019)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. CoRR (2019)
Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence. CoRR (2019)
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)
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG. EMNLP/IJCNLP (1) (2019)
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
Metalearned Neural Memory. NeurIPS (2019)
Layla El Asri, Adam Trischler
A Study of State Aliasing in Structured Prediction with RNNs. CoRR (2019)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) (2019)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) (2019)
Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler
Building Dynamic Knowledge Graphs from Text-based Games. CoRR (2019)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. CoRR (2019)
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. ACL (1) (2019)
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
Metalearned Neural Memory. CoRR (2019)
Layla El Asri, Adam Trischler
A Study of State Aliasing in Structured Prediction with RNNs. DeepRLStructPred@ICLR (2019)
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio
Neural Models for Key Phrase Extraction and Question Generation. QA@ACL (2018)
Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Ákos Kádár, Adam Trischler, Yoshua Bengio
FigureQA: An Annotated Figure Dataset for Visual Reasoning. ICLR (Workshop) (2018)
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. CoRR (2018)
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. ICLR (Poster) (2018)
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)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR (2018)
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
Generating Diverse Numbers of Diverse Keyphrases. CoRR (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)
R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio
Boundary Seeking GANs. ICLR (Poster) (2018)
Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
A Knowledge Hunting Framework for Common Sense Reasoning. CoRR (2018)
Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. CoRR (2018)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR (2018)
R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Adam Trischler, Yoshua Bengio
Learning deep representations by mutual information estimation and maximization. CoRR (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)
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. CoRR (2018)
Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge. NAACL-HLT (Student Research Workshop) (2018)
Tsendsuren Munkhdalai, Adam Trischler
Metalearning with Hebbian Fast Weights. 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)
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler
Counting to Explore and Generalize in Text-based Games. CoRR (2018)
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
TextWorld: A Learning Environment for Text-Based Games. CGW@IJCAI (2018)
Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
A Knowledge Hunting Framework for Common Sense Reasoning. EMNLP (2018)
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
TextWorld: A Learning Environment for Text-based Games. CoRR (2018)
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
Rapid Adaptation with Conditionally Shifted Neurons. ICML (2018)
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler, Yoshua Bengio
FigureQA: An Annotated Figure Dataset for Visual Reasoning. CoRR (2017)
Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder. CoRR (2017)
Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. NIPS (2017)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Learning Algorithms for Active Learning. CoRR (2017)
Tong Wang, Xingdi Yuan, Adam Trischler
A Joint Model for Question Answering and Question Generation. CoRR (2017)
Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
Machine Comprehension by Text-to-Text Neural Question Generation. CoRR (2017)
Samira Shabanian, Devansh Arpit, Adam Trischler, Yoshua Bengio
Variational Bi-LSTMs. CoRR (2017)
Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler
Machine Comprehension by Text-to-Text Neural Question Generation. Rep4NLP@ACL (2017)
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Adam Trischler
Neural Models for Key Phrase Detection and Question Generation. CoRR (2017)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Learning Algorithms for Active Learning. ICML (2017)
Francis Dutil, Çaglar Gülçehre, Adam Trischler, Yoshua Bengio
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. CoRR (2017)
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler
Learning Rapid-Temporal Adaptations. CoRR (2017)
Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio
Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning. Rep4NLP@ACL (2017)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Learning Algorithms for Active Learning. ICLR (Workshop) (2017)
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
NewsQA: A Machine Comprehension Dataset. Rep4NLP@ACL (2017)
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
NewsQA: A Machine Comprehension Dataset. CoRR (2016)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Towards Information-Seeking Agents. CoRR (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
Natural Language Comprehension with the EpiReader. EMNLP (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Kaheer Suleman
Natural Language Comprehension with the EpiReader. CoRR (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. ACL (1) (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. CoRR (2016)