Yann Dauphin
18 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Research topics
Deep Learning
(13)
Machine Learning
(12)
Natural Language Processing
(8)
Architectures
(7)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Optimization & Theory Β· Machine Learning
(6)
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Generation
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Optimization & Theory Β· Deep Learning
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Artificial Intelligence
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Keywords
neural network
(4)
representation learning
(3)
language model
(3)
language modeling
(3)
text generation
(2)
feature learning
(2)
hierarchical generation
(2)
neural machine translation
(2)
story generation
(2)
sharpness-aware minimization
(2)
stochastic gradient descent
(1)
domain generalization
(1)
text classification
(1)
sequence encoding
(1)
non-convex optimization
(1)
contrastive learning
(1)
self-attention mechanism
(1)
batch normalization
(1)
image classification
(1)
data augmentation
(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
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
AAAI 2022
No One Representation to Rule Them All: Overlapping Features of Training Methods
ICLR 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
Pay Less Attention with Lightweight and Dynamic Convolutions
ICLR 2019
Simple and Effective Noisy Channel Modeling for Neural Machine Translation
EMNLP 2019
Strategies for Structuring Story Generation
ACL 2019
Hierarchical Neural Story Generation
ACL 2018
A Convolutional Encoder Model for Neural Machine Translation
ACL 2017
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
EMNLP 2017
Parseval Networks: Improving Robustness to Adversarial Examples
ICML 2017
Equilibrated adaptive learning rates for non-convex optimization
NeurIPS 2015
Better Mixing via Deep Representations
ICML 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
NeurIPS 2013