Çaglar Gülçehre

According to our database1, Çaglar Gülçehre authored at least 42 papers between 2013 and 2020.

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Bibliography

2020
Critic Regularized Regression.
CoRR, 2020

RL Unplugged: Benchmarks for Offline Reinforcement Learning.
CoRR, 2020

Acme: A Research Framework for Distributed Reinforcement Learning.
CoRR, 2020

Making Efficient Use of Demonstrations to Solve Hard Exploration Problems.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Gated Orthogonal Recurrent Units: On Learning to Forget.
Neural Computation, 2019

Improving the Gating Mechanism of Recurrent Neural Networks.
CoRR, 2019

Stabilizing Transformers for Reinforcement Learning.
CoRR, 2019

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

Hyperbolic Attention Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Sample Efficient Adaptive Text-to-Speech.
Proceedings of the 7th International Conference on Learning Representations, 2019

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

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

2017
On integrating a language model into neural machine translation.
Comput. Speech Lang., 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

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.
J. Mach. Learn. Res., 2016

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

Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes.
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
On Using Monolingual Corpora in Neural Machine Translation.
CoRR, 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

ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient.
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
Learned-norm pooling for deep neural networks.
CoRR, 2013



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