No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets

4 September 2023

Papers citing "No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets"

6 / 6 papers shown

Title
No Free Lunch in Self Supervised Representation Learning Ihab Bendidi Adrien Bardes E. Cohen Alexis Lamiable Guillaume Bollot Auguste Genovesio OOD 41 11 0 23 Apr 2023
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes M. Kodryan E. Lobacheva M. Nakhodnov Dmitry Vetrov 34 15 0 08 Sep 2022
Multi-scale Feature Learning Dynamics: Insights for Double Descent Mohammad Pezeshki Amartya Mitra Yoshua Bengio Guillaume Lajoie 53 25 0 06 Dec 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 166 684 0 22 Apr 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 195 232 0 16 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014