deeplearning-wisc / salLinks
source code for ICLR'24 paper "How does unlabeled data provably help OOD detection?"
☆13Updated last year
Alternatives and similar repositories for sal
Users that are interested in sal are comparing it to the libraries listed below
Sorting:
- ☆17Updated last year
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- ☆18Updated last year
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- A collection of model transferability estimation methods.☆30Updated last year
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆23Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 7 months ago
- Data Optimization in Deep Learning: A Survey☆19Updated 2 years ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆98Updated last year
- Benchmark for federated noisy label learning☆24Updated last year
- ☆26Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Updated 2 years ago
- ☆71Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- [NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.☆24Updated 2 years ago
- ☆14Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆52Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated 2 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Updated 3 years ago
- A Task of Fictitious Unlearning for VLMs☆27Updated 8 months ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆13Updated 10 months ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆60Updated 9 months ago
- ☆10Updated 2 years ago
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆34Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆85Updated last year
- ☆23Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Updated 3 months ago
- ☆29Updated last year
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"☆12Updated 2 years ago