Adam Trischler

According to our database1, Adam Trischler authored at least 34 papers between 2016 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension.
CoRR, 2018

Generating Diverse Numbers of Diverse Keyphrases.
CoRR, 2018

A Knowledge Hunting Framework for Common Sense Reasoning.
CoRR, 2018

Learning deep representations by mutual information estimation and maximization.
CoRR, 2018

Metalearning with Hebbian Fast Weights.
CoRR, 2018

TextWorld: A Learning Environment for Text-based Games.
CoRR, 2018

Counting to Explore and Generalize in Text-based Games.
CoRR, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
CoRR, 2018

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.
CoRR, 2018

A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Rapid Adaptation with Conditionally Shifted Neurons.
Proceedings of the 35th International Conference on Machine Learning, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Knowledge Hunting Framework for Common Sense Reasoning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Models for Key Phrase Extraction and Question Generation.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017
Learning Rapid-Temporal Adaptations.
CoRR, 2017

Plan, Attend, Generate: Planning for Sequence-to-Sequence Models.
CoRR, 2017

Variational Bi-LSTMs.
CoRR, 2017

FigureQA: An Annotated Figure Dataset for Visual Reasoning.
CoRR, 2017

Learning Algorithms for Active Learning.
CoRR, 2017

Machine Comprehension by Text-to-Text Neural Question Generation.
CoRR, 2017

A Joint Model for Question Answering and Question Generation.
CoRR, 2017

Neural Models for Key Phrase Detection and Question Generation.
CoRR, 2017

Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder.
CoRR, 2017

Machine Comprehension by Text-to-Text Neural Question Generation.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

NewsQA: A Machine Comprehension Dataset.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Plan, Attend, Generate: Planning for Sequence-to-Sequence Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Algorithms for Active Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Natural Language Comprehension with the EpiReader.
CoRR, 2016

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data.
CoRR, 2016

NewsQA: A Machine Comprehension Dataset.
CoRR, 2016

Towards Information-Seeking Agents.
CoRR, 2016

Natural Language Comprehension with the EpiReader.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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