NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (26)

cs.CL2017

NewsQA: A Machine Comprehension Dataset

Adam Trischler, Tong Wang, Xingdi Yuan +4

cs.CL2018

Neural Models for Key Phrase Detection and Question Generation

Sandeep Subramanian, Tong Wang, Xingdi Yuan +3

stat.ML2017

Variational Bi-LSTMs

Samira Shabanian, Devansh Arpit, Adam Trischler +1

cs.CL2016

Natural Language Comprehension with the EpiReader

Adam Trischler, Zheng Ye, Xingdi Yuan +1

cs.LG2018

Twin Networks: Matching the Future for Sequence Generation

Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni +3

cs.NE2016

Synthesis of recurrent neural networks for dynamical system simulation

Adam Trischler, Gabriele MT D'Eleuterio

cs.LG2018

Rapid Adaptation with Conditionally Shifted Neurons

Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri +1

cs.CL2018

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

Sandeep Subramanian, Adam Trischler, Yoshua Bengio +1

cs.CL2019

Counting to Explore and Generalize in Text-based Games

Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni +4

cs.CL2018

A Knowledge Hunting Framework for Common Sense Reasoning

Ali Emami, Noelia De La Cruz, Adam Trischler +2

stat.ML2018

Boundary-Seeking Generative Adversarial Networks

R Devon Hjelm, Athul Paul Jacob, Tong Che +3

cs.LG2017

Plan, Attend, Generate: Planning for Sequence-to-Sequence Models

Francis Dutil, Caglar Gulcehre, Adam Trischler +1

cs.CL2017

A Joint Model for Question Answering and Question Generation

Tong Wang, Xingdi Yuan, Adam Trischler

cs.CL2016

Iterative Alternating Neural Attention for Machine Reading

Alessandro Sordoni, Philip Bachman, Adam Trischler +1

cs.CL2019

The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution

Ali Emami, Paul Trichelair, Adam Trischler +3

cs.CL2016

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

Adam Trischler, Zheng Ye, Xingdi Yuan +3

cs.LG2016

Towards Information-Seeking Agents

Philip Bachman, Alessandro Sordoni, Adam Trischler

cs.LG2017

Learning Algorithms for Active Learning

Philip Bachman, Alessandro Sordoni, Adam Trischler

cs.CL2017

Machine Comprehension by Text-to-Text Neural Question Generation

Xingdi Yuan, Tong Wang, Caglar Gulcehre +5

cs.LG2019

A Study of State Aliasing in Structured Prediction with RNNs

Layla El Asri, Adam Trischler

stat.ML2019

Learning deep representations by mutual information estimation and maximization

R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon +4

stat.ML2018

Focused Hierarchical RNNs for Conditional Sequence Processing

Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni +6

cs.NE2018

Metalearning with Hebbian Fast Weights

Tsendsuren Munkhdalai, Adam Trischler

cs.CL2017

Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder

Caglar Gulcehre, Francis Dutil, Adam Trischler +1

cs.CV2018

FigureQA: An Annotated Figure Dataset for Visual Reasoning

Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson +3

cs.CL2018

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan +2