Weixin-Liang / MetaShift
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
☆109Updated 2 years ago
Alternatives and similar repositories for MetaShift:
Users that are interested in MetaShift are comparing it to the libraries listed below
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- ☆95Updated 2 years ago
- ☆107Updated last year
- LISA for ICML 2022☆48Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆53Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆96Updated last year
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆32Updated 4 years ago
- ☆45Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- Patching open-vocabulary models by interpolating weights☆91Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆33Updated last year
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- ☆26Updated last year
- ☆54Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆52Updated 7 months ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆140Updated 4 years ago
- [ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations☆31Updated 3 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆91Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- ☆29Updated 2 years ago
- Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)☆45Updated 3 years ago
- Create generated datasets and train robust classifiers☆35Updated last year