tor4z / awesome-confidence-calibrationLinks
awesome confidence calibration paper list
☆24Updated 3 years ago
Alternatives and similar repositories for awesome-confidence-calibration
Users that are interested in awesome-confidence-calibration are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- ☆43Updated 6 months ago
- ☆28Updated 2 years ago
- ☆22Updated last year
- ☆27Updated last year
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated 2 years ago
- ☆25Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated last year
- ☆107Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆91Updated 3 years ago
- ☆45Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆57Updated 2 years ago
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆11Updated 9 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Deep Learning & Information Bottleneck☆60Updated last year
- baseline mode for the ObjectNet competition☆17Updated 4 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆102Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)☆41Updated last year
- [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…☆33Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.☆175Updated 11 months ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆48Updated last year
- NumPy library for calibration metrics☆73Updated 3 months ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆93Updated last year
- Bayesian Low-Rank Adaptation for Large Language Models☆34Updated 11 months ago