Çaglar Gülçehre

According to our database1, Çaglar Gülçehre authored at least 45 papers between 2013 and 2018.

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Bibliography

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

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL.
CoRR, 2018

Sample Efficient Adaptive Text-to-Speech.
CoRR, 2018

Relational inductive biases, deep learning, and graph networks.
CoRR, 2018

Hyperbolic Attention Networks.
CoRR, 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

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

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

Gated Orthogonal Recurrent Units: On Learning to Forget.
CoRR, 2017

A Robust Adaptive Stochastic Gradient Method for Deep Learning.
CoRR, 2017

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

Memory Augmented Neural Networks with Wormhole Connections.
CoRR, 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

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

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
CoRR, 2016

Mollifying Networks.
CoRR, 2016

Noisy Activation Functions.
CoRR, 2016

Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes.
CoRR, 2016

Pointing the Unknown Words.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 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
Policy Distillation.
CoRR, 2015

EmoNets: Multimodal deep learning approaches for emotion recognition in video.
CoRR, 2015

On Using Monolingual Corpora in Neural Machine Translation.
CoRR, 2015

Gated Feedback Recurrent Neural Networks.
CoRR, 2015

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

2014
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient.
CoRR, 2014

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization.
CoRR, 2014

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.
CoRR, 2014

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
CoRR, 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
CoRR, 2013

How to Construct Deep Recurrent Neural Networks.
CoRR, 2013

Learned-norm pooling for deep neural networks.
CoRR, 2013



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