Çaglar Gülçehre

According to our database1, Çaglar Gülçehre authored at least 24 papers between 2013 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes.
Neural Computation, 2018

Gated Orthogonal Recurrent Units: On Learning to Forget.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
On integrating a language model into neural machine translation.
Computer Speech & Language, 2017

Machine Comprehension by Text-to-Text Neural Question Generation.
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

A robust adaptive stochastic gradient method for deep learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Mollifying Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Recurrent Batch Normalization.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
EmoNets: Multimodal deep learning approaches for emotion recognition in video.
J. Multimodal User Interfaces, 2016

Knowledge Matters: Importance of Prior Information for Optimization.
Journal of Machine Learning Research, 2016

Policy Distillation.
Proceedings of the 4th International Conference on Learning Representations, 2016

Noisy Activation Functions.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Pointing the Unknown Words.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Gated Feedback Recurrent Neural Networks.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
How to Construct Deep Recurrent Neural Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Knowledge Matters: Importance of Prior Information for Optimization
Proceedings of the 1st International Conference on Learning Representations, 2013



  Loading...