Leonard Berrada
5 papers · 2018–2022 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
๐
Conference Polyglot ยท Bronze
๐ฃ
Hot Topic Early Bird
๐ฅ
Unstoppable ยท Bronze
๐
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
adaptive learning rate
(2)
stochastic gradient descent
(2)
non-convex optimization
(1)
deep learning
(1)
neural network optimization
(1)
top-k classification
(1)
noise robustness
(1)
learning rate
(1)
deep neural network
(1)
out-of-distribution detection
(1)
neural network verification
(1)
bayesian neural network
(1)
cross-entropy loss
(1)
frank-wolfe algorithm
(1)
margin-based loss
(1)
empirical loss
(1)
probabilistic specification
(1)
stochastic optimization
(1)
composite proximal
(1)
adversarial robustness
(1)
Papers
A Stochastic Bundle Method for Interpolation
JMLR 2022
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
NeurIPS 2021
Training Neural Networks for and by Interpolation
ICML 2020
Deep Frank-Wolfe For Neural Network Optimization
ICLR 2019
Smooth Loss Functions for Deep Top-k Classification
ICLR 2018