Yann N. Dauphin

According to our database1, Yann N. Dauphin authored at least 24 papers between 2011 and 2019.

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

Timeline

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Bibliography

2019
On the Pitfalls of Measuring Emergent Communication.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
mixup: Beyond Empirical Risk Minimization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Empirical Analysis of the Hessian of Over-Parametrized Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

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

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

Predicting distributions with Linearizing Belief Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016

2015
Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding.
IEEE/ACM Trans. Audio, Speech & Language Processing, 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
Zero-Shot Learning and Clustering for Semantic Utterance Classification.
Proceedings of the 2nd International Conference on Learning Representations, 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
Proceedings of the 1st International Conference on Learning Representations, 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

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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