AIoT-MLSys-Lab / DeepAALinks
[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang
☆65Updated last year
Alternatives and similar repositories for DeepAA
Users that are interested in DeepAA are comparing it to the libraries listed below
Sorting:
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆79Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆109Updated 3 years ago
- ☆58Updated 2 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…☆76Updated 3 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 5 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆37Updated last year
- The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)☆142Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- understanding model mistakes with human annotations☆106Updated 2 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆49Updated 3 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆176Updated 2 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 4 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 3 years ago
- [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …☆133Updated 3 years ago
- ☆85Updated 3 years ago
- Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)☆181Updated 3 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆85Updated 4 years ago
- PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)☆99Updated 3 years ago
- ☆35Updated 2 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆144Updated 11 months ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 3 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆46Updated 3 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆79Updated 3 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 3 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆121Updated 4 years ago