1 code implementation • 20 Sep 2021 • Federico López, Martin Scholz, Jessica Yung, Marie Pellat, Michael Strube, Lucas Dixon
This paper introduces a simple and effective form of data augmentation for recommender systems.
46 code implementations • NeurIPS 2021 • Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
Convolutional Neural Networks (CNNs) are the go-to model for computer vision.
Ranked #17 on Image Classification on OmniBenchmark
1 code implementation • 9 Apr 2021 • Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai
Before deploying machine learning models it is critical to assess their robustness.
1 code implementation • CVPR 2021 • Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic
Modern deep convolutional networks (CNNs) are often criticized for not generalizing under distributional shifts.
8 code implementations • ECCV 2020 • Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby
We conduct detailed analysis of the main components that lead to high transfer performance.
Ranked #1 on Out-of-Distribution Generalization on ImageNet-W (using extra training data)