Trischler, Adam

Learning deep representations by mutual information estimation and maximization

Hjelm, R. D., Fedorov, A., Lavoie-Marchildon, S., Grewal, K., Bachman, P., Trischler, A., & Bengio, Y. (2018) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 1,991

NewsQA: A Machine Comprehension Dataset

Trischler, A., Wang, T., Yuan, X., Harris, J., Sordoni, A., Bachman, P., & Suleman, K. (2017) · Proceedings of the 2nd Workshop on Representation Learning for NLP

Topic ModelingNatural Language Processing Techniques

Cited by 706

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Subramanian, S., Trischler, A., Bengio, Y., & Pal, C. J. (2018) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 207

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Shridhar, M., Yuan, X., Côté, M.-A., Bisk, Y., Trischler, A., & Hausknecht, M. (2020) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 80

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Shen, T., Mao, Y., He, P., Long, G., Trischler, A., & Chen, W. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingAdvanced Graph Neural Networks

Cited by 63

'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models

Hwang, A. H.-C., Liao, Q. V., Blodgett, S. L., Olteanu, A., & Trischler, A. (2025) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIArt, Technology, and Culture

Cited by 42

Metalearned Neural Memory

Munkhdalai, T., Sordoni, A., Wang, T., & Trischler, A. (2019) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 31