Yann Dauphin

According to our database1, Yann Dauphin authored at least 36 papers between 2011 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
Hierarchical Neural Story Generation.
CoRR, 2018

Hierarchical Neural Story Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
mixup: Beyond Empirical Risk Minimization.
CoRR, 2017

Tackling Over-pruning in Variational Autoencoders.
CoRR, 2017

Empirical Analysis of the Hessian of Over-Parametrized Neural Networks.
CoRR, 2017

Deal or No Deal? End-to-End Learning for Negotiation Dialogues.
CoRR, 2017

Convolutional Sequence to Sequence Learning.
CoRR, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.
CoRR, 2017

Convolutional Sequence to Sequence Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Language Modeling with Gated Convolutional Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.
Proceedings of the 34th International Conference on Machine Learning, 2017

Deal or No Deal? End-to-End Learning of Negotiation Dialogues.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Convolutional Encoder Model for Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

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

A Convolutional Encoder Model for Neural Machine Translation.
CoRR, 2016

Language Modeling with Gated Convolutional Networks.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

2015
Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

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

RMSProp and equilibrated adaptive learning rates for non-convex optimization.
CoRR, 2015

Predicting distributions with Linearizing Belief Networks.
CoRR, 2015

Equilibrated adaptive learning rates for non-convex optimization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
On the saddle point problem for non-convex optimization.
CoRR, 2014

Zero-Shot Learning and Clustering for Semantic Utterance Classification.
CoRR, 2014

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

2013
Big Neural Networks Waste Capacity
CoRR, 2013

Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Better Mixing via Deep Representations.
Proceedings of the 30th International Conference on Machine Learning, 2013


2012
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.
Proceedings of the Unsupervised and Transfer Learning, 2012

Better Mixing via Deep Representations
CoRR, 2012

A Generative Process for Contractive Auto-Encoders.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Higher Order Contractive Auto-Encoder.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

The Manifold Tangent Classifier.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Large-Scale Learning of Embeddings with Reconstruction Sampling.
Proceedings of the 28th International Conference on Machine Learning, 2011


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