changwxx / CSOT-for-LNL
Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
☆18Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for CSOT-for-LNL
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆57Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated last year
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆81Updated 7 months ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆36Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆42Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆40Updated last year
- Source code for NeurIPS 2022 paper SoLar☆26Updated 11 months ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆50Updated 7 months ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆36Updated 10 months ago
- This repo provides the codebase for "A General Framework for Weak Supervision"☆27Updated 5 months ago
- ☆10Updated last year
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆30Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆38Updated last year
- ☆11Updated last year
- ☆14Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆30Updated last year
- ☆18Updated 2 years ago
- NN 2023☆21Updated 2 years ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆49Updated last year
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆19Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- ☆25Updated last year
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆19Updated 2 years ago
- ☆42Updated 2 years ago
- ☆24Updated last year
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆23Updated last year