Sylvestre-Alvise Rebuffi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
2
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | CVPR | Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. | Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal |
| 2023 | ICLR | Revisiting adapters with adversarial training. | Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal |
| 2022 | ICLR | Defending Against Image Corruptions Through Adversarial Augmentations. | Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, Andrs Gyrgy, Timothy A. Mann, Sven Gowal |
| 2022 | ICLR | A Fine-Grained Analysis on Distribution Shift. | Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, Ali Taylan Cemgil |
| 2020 | CVPR | Semi-Supervised Learning with Scarce Annotations. | Sylvestre-Alvise Rebuffi, Sbastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman |
| 2020 | CVPR | There and Back Again: Revisiting Backpropagation Saliency Methods. | Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi |
| 2020 | ICLR | Automatically Discovering and Learning New Visual Categories with Ranking Statistics. | Kai Han, Sylvestre-Alvise Rebuffi, Sbastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman |
| 2018 | CVPR | Efficient Parametrization of Multi-Domain Deep Neural Networks. | Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi |
| 2017 | CVPR | iCaRL: Incremental Classifier and Representation Learning. | Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert |