Adam Trischler
Adam Trischler
Microsoft Research Montreal
Verified email at - Homepage
TitleCited byYear
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
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
S Subramanian, A Trischler, Y Bengio, CJ Pal
ICLR 2018, 2018
Iterative alternating neural attention for machine reading
A Sordoni, P Bachman, A Trischler, Y Bengio
arXiv preprint arXiv:1606.02245, 2016
Boundary-seeking generative adversarial networks
RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio
ICLR 2018, 2017
Learning deep representations by mutual information estimation and maximization
RD Hjelm, A Fedorov, S Lavoie-Marchildon, K Grewal, A Trischler, ...
ICLR 2019, 2018
Natural language comprehension with the epireader
A Trischler, Z Ye, X Yuan, K Suleman
EMNLP 2016, 2016
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
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Rapid Adaptation with Conditionally Shifted Neurons
T Munkhdalai, X Yuan, S Mehri, T Wang, A Trischler
ICML 2018, 2017
A parallel-hierarchical model for machine comprehension on sparse data
A Trischler, Z Ye, X Yuan, J He, P Bachman, K Suleman
ACL 2016, 2016
A joint model for question answering and question generation
T Wang, X Yuan, A Trischler
arXiv preprint arXiv:1706.01450, 2017
Figureqa: An annotated figure dataset for visual reasoning
SE Kahou, V Michalski, A Atkinson, Á Kádár, A Trischler, Y Bengio
Montreal AI Symposium 2017, 2017
Twin Networks: Matching the future for sequence generation
D Serdyuk, NR Ke, A Sordoni, A Trischler, C Pal, Y Bengio
ICLR 2018, 2017
Synthesis of recurrent neural networks for dynamical system simulation
AP Trischler, GMT D’Eleuterio
Neural Networks 80, 67-78, 2016
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
Variational bi-lstms
S Shabanian, D Arpit, A Trischler, Y Bengio
arXiv preprint arXiv:1711.05717, 2017
A Knowledge Hunting Framework for Common Sense Reasoning
A Emami, N De La Cruz, A Trischler, K Suleman, JCK Cheung
EMNLP 2018, 2018
TextWorld: A Learning Environment for Text-Based Games
T Barnes, E Fine, J Moore, M Hausknecht, L El Asri, M Adada, W Tay, ...
Computer Games: 7th Workshop, CGW 2018, Held in Conjunction with the 27th …, 0
Focused hierarchical rnns for conditional sequence processing
NR Ke, K Zolna, A Sordoni, Z Lin, A Trischler, Y Bengio, J Pineau, ...
ICML 2018, 2018
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
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