• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 65 matches

• 2023
• 
  Atish Agarwala, Yann N. Dauphin:
  SAM operates far from home: eigenvalue regularization as a dynamical phenomenon. CoRR abs/2302.08692 (2023)
• 2022
• 
  Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin:
  Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. AAAI 2022: 6577-6586
• 
  Raphael Gontijo Lopes, Yann Dauphin, Ekin Dogus Cubuk:
  No One Representation to Rule Them All: Overlapping Features of Training Methods. ICLR 2022
• 
  Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah:
  How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR abs/2211.12966 (2022)
• 2021
• 
  Yann Dauphin, Ekin Dogus Cubuk:
  Deconstructing the Regularization of BatchNorm. ICLR 2021
• 
  Lucio M. Dery, Yann N. Dauphin, David Grangier:
  Auxiliary Task Update Decomposition: the Good, the Bad and the neutral. ICLR 2021
• 
  Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan:
  Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. 2021 [contents]
• 
  Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn:
  Continental-Scale Building Detection from High Resolution Satellite Imagery. CoRR abs/2107.12283 (2021)
• 
  Lucio M. Dery, Yann N. Dauphin, David Grangier:
  Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral. CoRR abs/2108.11346 (2021)
• 
  Raphael Gontijo Lopes, Yann Dauphin, Ekin D. Cubuk:
  No One Representation to Rule Them All: Overlapping Features of Training Methods. CoRR abs/2110.12899 (2021)
• 2020
• 
  Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma:
  Robust and On-the-Fly Dataset Denoising for Image Classification. ECCV (29) 2020: 556-572
• 
  Jiaming Song, Lunjia Hu, Yann N. Dauphin, Michael Auli, Tengyu Ma:
  Robust and On-the-fly Dataset Denoising for Image Classification. CoRR abs/2003.10647 (2020)
• 
  Utku Evci, Yani Andrew Ioannou, Cem Keskin, Yann N. Dauphin:
  Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. CoRR abs/2010.03533 (2020)
• 
  Atish Agarwala, Jeffrey Pennington, Yann N. Dauphin, Samuel S. Schoenholz:
  Temperature check: theory and practice for training models with softmax-cross-entropy losses. CoRR abs/2010.07344 (2020)
• 2019
• 
  Angela Fan, Mike Lewis, Yann N. Dauphin:
  Strategies for Structuring Story Generation. ACL (1) 2019: 2650-2660
• 
  Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin:
  On the Pitfalls of Measuring Emergent Communication. AAMAS 2019: 693-701
• 
  Kyra Yee, Yann N. Dauphin, Michael Auli:
  Simple and Effective Noisy Channel Modeling for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 5695-5700
• 
  Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli:
  Pay Less Attention with Lightweight and Dynamic Convolutions. ICLR 2019
• 
  Hongyi Zhang, Yann N. Dauphin, Tengyu Ma:
  Fixup Initialization: Residual Learning Without Normalization. ICLR (Poster) 2019
• 
  Yann N. Dauphin, Samuel S. Schoenholz:
  MetaInit: Initializing learning by learning to initialize. NeurIPS 2019: 12624-12636
• 
  Hongyi Zhang, Yann N. Dauphin, Tengyu Ma:
  Fixup Initialization: Residual Learning Without Normalization. CoRR abs/1901.09321 (2019)
• 
  Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli:
  Pay Less Attention with Lightweight and Dynamic Convolutions. CoRR abs/1901.10430 (2019)
• 
  Angela Fan, Mike Lewis, Yann N. Dauphin:
  Strategies for Structuring Story Generation. CoRR abs/1902.01109 (2019)
• 
  Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin:
  On the Pitfalls of Measuring Emergent Communication. CoRR abs/1903.05168 (2019)
• 
  Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli:
  Simple and Effective Noisy Channel Modeling for Neural Machine Translation. CoRR abs/1908.05731 (2019)
• 
  Sara Hooker, Aaron C. Courville, Yann N. Dauphin, Andrea Frome:
  Selective Brain Damage: Measuring the Disparate Impact of Model Pruning. CoRR abs/1911.05248 (2019)
• 2018
• 
  Angela Fan, Mike Lewis, Yann N. Dauphin:
  Hierarchical Neural Story Generation. ACL (1) 2018: 889-898
• 
  Levent Sagun, Utku Evci, V. Ugur Güney, Yann N. Dauphin, Léon Bottou:
  Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. ICLR (Workshop) 2018
• 
  Hongyi Zhang, Moustapha Cissé, Yann N. Dauphin, David Lopez-Paz:
  mixup: Beyond Empirical Risk Minimization. ICLR (Poster) 2018
• 
  Angela Fan, Mike Lewis, Yann N. Dauphin:
  Hierarchical Neural Story Generation. CoRR abs/1805.04833 (2018)

skipping 35 more matches