MiaoXiong2320 / ProximityBias-CalibrationLinks
☆18Updated last year
Alternatives and similar repositories for ProximityBias-Calibration
Users that are interested in ProximityBias-Calibration are comparing it to the libraries listed below
Sorting:
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- Code for coreset selection methods☆243Updated 2 years ago
- ☆67Updated 2 years ago
- A collection of model transferability estimation methods.☆28Updated 11 months ago
- ☆10Updated 3 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆51Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 4 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- ☆24Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated 2 years ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆52Updated 2 years ago
- ☆16Updated 3 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆94Updated 4 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆101Updated 3 years ago
- ☆87Updated 2 years ago
- ☆37Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆181Updated last year
- ☆29Updated 2 years ago
- Awesome-open-world-learning☆26Updated 3 years ago
- ☆19Updated 3 years ago
- Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatiopytorch☆10Updated 3 years ago
- Analysis of evidential models☆14Updated 2 years ago