gudovskiy / autodoLinks
Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
☆24Updated 2 years ago
Alternatives and similar repositories for autodo
Users that are interested in autodo are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆56Updated 3 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated 2 years ago
- [Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)☆14Updated 9 months ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- ☆46Updated 3 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆48Updated 2 years ago
- t-vMF Similarity for Regularizing Intra-Class Feature Distribution☆21Updated 3 years ago
- ☆13Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆43Updated 4 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆36Updated 10 months ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆29Updated 4 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆27Updated 3 years ago
- ☆28Updated 3 years ago
- Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)☆33Updated 3 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 3 years ago
- Normalization Matters in Weakly Supervised Object Localization (ICCV 2021)☆11Updated 3 years ago
- ISD: Self-Supervised Learning by Iterative Similarity Distillation☆36Updated 3 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…☆35Updated 3 years ago
- ☆17Updated 6 years ago
- The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021 best student paper)☆23Updated 3 years ago