Sylvestre-Alvise Rebuffi
12 papers · 2017–2023 · 4 venues · across top CS/AI venues
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Achievements
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Venues
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Research topics
Machine Learning
(10)
Learning Types · Machine Learning
(9)
Deep Learning
(8)
Application Areas
(8)
Learning Types · Deep Learning
(5)
Computer Vision
(4)
Artificial Intelligence
(2)
Analysis
(2)
Core AI · Computer Vision
(2)
Core AI · Artificial Intelligence
(2)
Core Methods
(2)
Optimization & Theory
(2)
Techniques
(2)
Architectures
(1)
Models
(1)
Keywords
data augmentation
(4)
adversarial training
(4)
image classification
(3)
adversarial robustness
(3)
transfer learning
(3)
distribution shift
(3)
domain adaptation
(2)
continual learning
(2)
representation learning
(2)
model soup
(2)
multi-domain learning
(2)
neural network
(2)
model robustness
(2)
feature representation
(1)
feature attribution
(1)
incremental learning
(1)
domain generalization
(1)
empirical evaluation
(1)
sequential learning
(1)
parameter sharing
(1)
Papers
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
JMLR 2023
Revisiting adapters with adversarial training
ICLR 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
CVPR 2023
A Fine-Grained Analysis on Distribution Shift
ICLR 2022
Defending Against Image Corruptions Through Adversarial Augmentations
ICLR 2022
Data Augmentation Can Improve Robustness
NeurIPS 2021
Improving Robustness using Generated Data
NeurIPS 2021
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
ICLR 2020
There and Back Again: Revisiting Backpropagation Saliency Methods
CVPR 2020
Efficient Parametrization of Multi-Domain Deep Neural Networks
CVPR 2018
iCaRL: Incremental Classifier and Representation Learning
CVPR 2017
Learning multiple visual domains with residual adapters
NeurIPS 2017