MiaoXiong2320 / ProximityBias-Calibration
☆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
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆48Updated last year
- Paper of out of distribution detection and generalization☆56Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆43Updated last year
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated last year
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated last year
- A collection of model transferability estimation methods.☆26Updated 5 months ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Updated last month
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- Awesome-open-world-learning☆25Updated 3 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆96Updated 3 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆40Updated last month
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Updated 2 years ago
- ☆42Updated 2 years ago
- Analysis of evidential models☆13Updated last year
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆23Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆93Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆76Updated 3 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- ☆16Updated 2 years ago
- ☆28Updated last year
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated last year
- ☆25Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆52Updated 2 years ago
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year