Philip Bachman

According to our database1, Philip Bachman authored at least 34 papers between 2009 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Learning Invariances for Policy Generalization.
CoRR, 2018

VFunc: a Deep Generative Model for Functions.
CoRR, 2018

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.
CoRR, 2018

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Reinforcement Learning That Matters.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Reinforcement Learning that Matters.
CoRR, 2017

Variational Generative Stochastic Networks with Collaborative Shaping.
CoRR, 2017

Learning Algorithms for Active Learning.
CoRR, 2017

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

Calibrating Energy-based Generative Adversarial Networks.
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

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

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

NewsQA: A Machine Comprehension Dataset.
CoRR, 2016

Iterative Alternating Neural Attention for Machine Reading.
CoRR, 2016

Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data.
CoRR, 2016

Towards Information-Seeking Agents.
CoRR, 2016

An Architecture for Deep, Hierarchical Generative Models.
CoRR, 2016

An Architecture for Deep, Hierarchical Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 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

2015
Data Generation as Sequential Decision Making.
CoRR, 2015

Testing Visual Attention in Dynamic Environments.
CoRR, 2015

Data Generation as Sequential Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Variational Generative Stochastic Networks with Collaborative Shaping.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Learning with Pseudo-Ensembles.
CoRR, 2014

Lifelong Learning of Discriminative Representations.
CoRR, 2014

Learning with Pseudo-Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sample-based approximate regularization.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Greedy Confidence Pursuit: A Pragmatic Approach to Multi-bandit Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012
Improved Estimation in Time Varying Models.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Learning Compact Representations of Time-Varying Processes.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2009
Structure discovery in PPI networks using pattern-based network decomposition.
Bioinformatics, 2009


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