dvirsamuel / DRO-LTLinks
Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
☆32Updated 3 years ago
Alternatives and similar repositories for DRO-LT
Users that are interested in DRO-LT are comparing it to the libraries listed below
Sorting:
- ☆61Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆75Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 2 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- This repository is the official implementation of the aaai2022 paper "Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Mo…☆20Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆93Updated 4 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition☆79Updated last year
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 4 years ago
- ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)☆61Updated last year
- ☆44Updated 3 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆102Updated 2 years ago
- ☆59Updated 2 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
- NLNL: Negative Learning for Noisy Labels☆104Updated 5 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Evaluation of semi-supervised learning on challenging datasets☆37Updated 3 years ago
- Benchmarks for semi-supervised domain generalization.☆68Updated 2 years ago
- ☆30Updated 2 years ago
- Domain Generalization via Gradient Surgery☆50Updated 3 years ago
- ☆15Updated 3 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Updated 2 years ago
- Pretrained models for "What Makes Instance Discrimination Good for Transfer Learning?".☆29Updated 3 years ago
- This is a public repository for:☆39Updated 3 years ago