Yann N. Dauphin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
7
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Avoiding spurious sharpness minimization broadens applicability of SAM. | Sidak Pal Singh, Hossein Mobahi, Atish Agarwala, Yann N. Dauphin |
| 2023 | ICML | SAM operates far from home: eigenvalue regularization as a dynamical phenomenon. | Atish Agarwala, Yann N. Dauphin |
| 2023 | ICML | Tied-Augment: Controlling Representation Similarity Improves Data Augmentation. | Emirhan Kurtulus, Zichao Li, Yann N. Dauphin, Ekin Dogus Cubuk |
| 2022 | AAAI | Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. | Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin |
| 2022 | ICLR | No One Representation to Rule Them All: Overlapping Features of Training Methods. | Raphael Gontijo Lopes, Yann N. Dauphin, Ekin Dogus Cubuk |
| 2021 | ICLR | Deconstructing the Regularization of BatchNorm. | Yann N. Dauphin, Ekin Dogus Cubuk |
| 2021 | ICLR | Auxiliary Task Update Decomposition: the Good, the Bad and the neutral. | Lucio M. Dery, Yann N. Dauphin, David Grangier |
| 2020 | ECCV | Robust and On-the-Fly Dataset Denoising for Image Classification. | Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma |
| 2019 | ACL | Strategies for Structuring Story Generation. | Angela Fan, Mike Lewis, Yann N. Dauphin |
| 2019 | EMNLP | Simple and Effective Noisy Channel Modeling for Neural Machine Translation. | Kyra Yee, Yann N. Dauphin, Michael Auli |
| 2019 | ICLR | Pay Less Attention with Lightweight and Dynamic Convolutions. | Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli |
| 2019 | ICLR | Fixup Initialization: Residual Learning Without Normalization. | Hongyi Zhang, Yann N. Dauphin, Tengyu Ma |
| 2018 | ACL | Hierarchical Neural Story Generation. | Angela Fan, Mike Lewis, Yann N. Dauphin |
| 2018 | ICLR | Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. | Levent Sagun, Utku Evci, V. Ugur Gney, Yann N. Dauphin, Lon Bottou |
| 2018 | ICLR | mixup: Beyond Empirical Risk Minimization. | Hongyi Zhang, Moustapha Ciss, Yann N. Dauphin, David Lopez-Paz |
| 2017 | ACL | A Convolutional Encoder Model for Neural Machine Translation. | Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin |
| 2017 | EMNLP | Deal or No Deal? End-to-End Learning of Negotiation Dialogues. | Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra |
| 2017 | ICML | Parseval Networks: Improving Robustness to Adversarial Examples. | Moustapha Ciss, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier |
| 2017 | ICML | Language Modeling with Gated Convolutional Networks. | Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier |
| 2017 | ICML | Convolutional Sequence to Sequence Learning. | Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin |
| 2013 | ICMI | Combining modality specific deep neural networks for emotion recognition in video. | Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, aglar Glehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sbastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu |
| 2013 | ICML | Better Mixing via Deep Representations. | Yoshua Bengio, Grgoire Mesnil, Yann N. Dauphin, Salah Rifai |
| 2012 | ICML | A Generative Process for Contractive Auto-Encoders. | Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio |
| 2011 | ICML | Large-Scale Learning of Embeddings with Reconstruction Sampling. | Yann N. Dauphin, Xavier Glorot, Yoshua Bengio |