ynysjtu / ood_benchLinks
☆49Updated 2 years ago
Alternatives and similar repositories for ood_bench
Users that are interested in ood_bench are comparing it to the libraries listed below
Sorting:
- ☆44Updated 4 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- ☆12Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- ☆37Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year
- This is the project for IRM methods☆13Updated 3 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆114Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- ☆27Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆41Updated 2 years ago
- ☆26Updated 2 years ago
- ☆23Updated 3 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Implementation of Contrastive Learning with Adversarial Examples☆29Updated 4 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- LISA for ICML 2022☆50Updated 2 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 3 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆118Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago