ml-stat-Sustech / conformal_prediction_via_label_rankingLinks
[ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
☆12Updated last year
Alternatives and similar repositories for conformal_prediction_via_label_ranking
Users that are interested in conformal_prediction_via_label_ranking are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆25Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆43Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- ☆25Updated 3 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- ☆17Updated last year
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆99Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- LISA for ICML 2022☆51Updated 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
- ☆11Updated 7 months ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆36Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated 2 years ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆22Updated 8 months ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- [NeurIPS 23] Characterizing OOD Error via Optimal Transport☆13Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- ☆17Updated 3 months ago
- ☆26Updated 2 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆20Updated 3 years ago
- ☆44Updated 2 weeks ago
- [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP☆15Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 9 months ago