Adam Trischler
Adam Trischler
Microsoft Research, McGill University
Verified email at - Homepage
Cited by
Cited by
Learning deep representations by mutual information estimation and maximization
RD Hjelm, A Fedorov, S Lavoie-Marchildon, K Grewal, A Trischler, ...
ICLR 2019, 2018
Newsqa: A machine comprehension dataset
A Trischler, T Wang, X Yuan, J Harris, A Sordoni, P Bachman, K Suleman
Proceedings of the 2nd Workshop on Representation Learning for NLP at ACL, 2016
An empirical study of example forgetting during deep neural network learning
M Toneva, A Sordoni, RT Combes, A Trischler, Y Bengio, GJ Gordon
ICLR 2019, 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
S Subramanian, A Trischler, Y Bengio, CJ Pal
ICLR 2018, 2018
Rapid Adaptation with Conditionally Shifted Neurons
T Munkhdalai, X Yuan, S Mehri, T Wang, A Trischler
ICML 2018, 2017
Textworld: A learning environment for text-based games
MA Ct, A Kdr, X Yuan, B Kybartas, T Barnes, E Fine, J Moore, ...
IJCAI Workshop on Computer Games, 2018, 2018
Alfworld: Aligning text and embodied environments for interactive learning
M Shridhar, X Yuan, MA Ct, Y Bisk, A Trischler, M Hausknecht
ICLR 2021, 2020
Figureqa: An annotated figure dataset for visual reasoning
SE Kahou, V Michalski, A Atkinson, Kdr, A Trischler, Y Bengio
Montreal AI Symposium 2017, 2017
Boundary-seeking generative adversarial networks
RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio
ICLR 2018, 2017
Machine comprehension by text-to-text neural question generation
X Yuan, T Wang, C Gulcehre, A Sordoni, P Bachman, S Subramanian, ...
arXiv preprint arXiv:1705.02012, 2017
Learning algorithms for active learning
P Bachman, A Sordoni, A Trischler
international conference on machine learning, 301-310, 2017
Exploring and predicting transferability across nlp tasks
T Vu, T Wang, T Munkhdalai, A Sordoni, A Trischler, A Mattarella-Micke, ...
EMNLP 2020, 2020
Neural models for key phrase detection and question generation
S Subramanian, T Wang, X Yuan, S Zhang, Y Bengio, A Trischler
arXiv preprint arXiv:1706.04560, 2017
One size does not fit all: Generating and evaluating variable number of keyphrases
X Yuan, T Wang, R Meng, K Thaker, P Brusilovsky, D He, A Trischler
arXiv preprint arXiv:1810.05241, 2018
Iterative alternating neural attention for machine reading
A Sordoni, P Bachman, A Trischler, Y Bengio
arXiv preprint arXiv:1606.02245, 2016
A joint model for question answering and question generation
T Wang, X Yuan, A Trischler
arXiv preprint arXiv:1706.01450, 2017
Natural language comprehension with the epireader
A Trischler, Z Ye, X Yuan, K Suleman
EMNLP 2016, 2016
Learning dynamic knowledge graphs to generalize on text-based games
A Adhikari, X Yuan, MA Ct, M Zelinka, MA Rondeau, R Laroche, ...
NeurIPS 2020, 2020
Synthesis of recurrent neural networks for dynamical system simulation
AP Trischler, GMT D’Eleuterio
Neural Networks 80, 67-78, 2016
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
R Das, T Munkhdalai, X Yuan, A Trischler, A McCallum
ICLR 2019, 2018
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