Trischler, Adam

20 publications

ICML 2024 Think Before You Act: Decision Transformers with Working Memory Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu

NeurIPS 2023 Joint Prompt Optimization of Stacked LLMs Using Variational Inference Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux

ICLR 2021 ALFWorld: Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Cote, Yonatan Bisk, Adam Trischler, Matthew Hausknecht

NeurIPS 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, Will Hamilton

ICLR 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

ICLRW 2019 A Study of State Aliasing in Structured Prediction with RNNs Layla El Asri, Adam Trischler

ICLR 2019 An Empirical Study of Example Forgetting During Deep Neural Network Learning Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon

ICLR 2019 Building Dynamic Knowledge Graphs from Text Using Machine Reading Comprehension Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum

ICLR 2019 Learning Deep Representations by Mutual Information Estimation and Maximization R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Phil Bachman, Adam Trischler, Yoshua Bengio

NeurIPS 2019 Metalearned Neural Memory Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler

ICLR 2018 Boundary Seeking GANs R Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio

ICML 2018 Focused Hierarchical RNNs for Conditional Sequence Processing Nan Rosemary Ke, Konrad Żołna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal

ICLR 2018 Learning General Purpose Distributed Sentence Representations via Large Scale Multi-Task Learning Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J Pal

ICML 2018 Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler

IJCAI 2018 TextWorld: A Learning Environment for Text-Based Games 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

NeurIPS 2018 Towards Text Generation with Adversarially Learned Neural Outlines Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal

ICLR 2018 Twin Networks: Matching the Future for Sequence Generation Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio

ICML 2017 Learning Algorithms for Active Learning Philip Bachman, Alessandro Sordoni, Adam Trischler

ICLR 2017 Learning Algorithms for Active Learning Philip Bachman, Alessandro Sordoni, Adam Trischler

NeurIPS 2017 Plan, Attend, Generate: Planning for Sequence-to-Sequence Models Caglar Gulcehre, Francis Dutil, Adam Trischler, Yoshua Bengio