Yann Dauphin
19 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Academic Marathon (12)
π
Conference Polyglot
(8)
π§
Keyword Pioneer
π
Keyword Champion
π
Grand Slam
ποΈ
Keyword Collector
(75)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(19)
π₯
Unstoppable
(7)
β
The Questioner
Conferences
ICML (5)
ICLR (4)
ACL (3)
EMNLP (2)
NIPS (2)
AAAI (1)
ECCV (1)
IJCNLP (1)
Top co-authors
Keywords
language model
(4)
neural machine translation
(3)
neural network
(3)
sequence to sequence
(2)
text generation
(2)
noisy channel model
(2)
story generation
(2)
language modeling
(2)
hierarchical generation
(2)
self-attention mechanism
(1)
data augmentation
(1)
feature learning
(1)
dialogue generation
(1)
representation learning
(1)
attention mechanism
(1)
self-supervised learning
(1)
semi-supervised learning
(1)
unsupervised feature learning
(1)
neural network optimization
(1)
sequence encoding
(1)
Papers
Avoiding spurious sharpness minimization broadens applicability of SAM
ICML 2025
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
ICML 2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
ICML 2023
No One Representation to Rule Them All: Overlapping Features of Training Methods
ICLR 2022
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
AAAI 2022
AUXILIARY TASK UPDATE DECOMPOSITION: THE GOOD, THE BAD AND THE NEUTRAL
ICLR 2021
Deconstructing the Regularization of BatchNorm
ICLR 2021
Robust and On-the-fly Dataset Denoising for Image Classification
ECCV 2020
Simple and Effective Noisy Channel Modeling for Neural Machine Translation
IJCNLP 2019
Strategies for Structuring Story Generation
ACL 2019
Simple and Effective Noisy Channel Modeling for Neural Machine Translation
EMNLP 2019
Pay Less Attention with Lightweight and Dynamic Convolutions
ICLR 2019
Hierarchical Neural Story Generation
ACL 2018
Parseval Networks: Improving Robustness to Adversarial Examples
ICML 2017
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
EMNLP 2017
A Convolutional Encoder Model for Neural Machine Translation
ACL 2017
Equilibrated adaptive learning rates for non-convex optimization
NIPS 2015
Better Mixing via Deep Representations
ICML 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
NIPS 2013