Yann N. Dauphin
8 papers · 2011–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
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Topic Evolution
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Optimization & Theory
(5)
Architectures
(4)
Natural Language Processing
(2)
Learning Types Β· Machine Learning
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Optimization
(1)
Keywords
neural network
(2)
convolutional neural network
(2)
neural network training
(2)
gradient descent
(2)
manifold learning
(1)
attention mechanism
(1)
semi-supervised learning
(1)
batch normalization
(1)
non-convex optimization
(1)
text generation
(1)
language modeling
(1)
deep learning
(1)
label smoothing
(1)
empirical risk minimization
(1)
semi-supervised classification
(1)
data augmentation
(1)
singular value decomposition
(1)
optimization theory
(1)
contractive autoencoders
(1)
machine translation
(1)
Papers
Neglected Hessian component explains mysteries in sharpness regularization
NeurIPS 2024
Fixup Initialization: Residual Learning Without Normalization
ICLR 2019
MetaInit: Initializing learning by learning to initialize
NeurIPS 2019
mixup: Beyond Empirical Risk Minimization
ICLR 2018
Convolutional Sequence to Sequence Learning
ICML 2017
Language Modeling with Gated Convolutional Networks
ICML 2017
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
NeurIPS 2014
The Manifold Tangent Classifier
NeurIPS 2011