DandanGuo1993 / reweight-imbalance-classification-with-OT
☆13Updated 2 years ago
Alternatives and similar repositories for reweight-imbalance-classification-with-OT:
Users that are interested in reweight-imbalance-classification-with-OT are comparing it to the libraries listed below
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆23Updated last year
- Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022☆26Updated 2 years ago
- Code of Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification☆11Updated 10 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated last year
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated last year
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.☆10Updated 3 years ago
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated last year
- ☆16Updated 2 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆19Updated 2 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆19Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆27Updated last year
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- ☆10Updated last month
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆14Updated 2 years ago
- code released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"☆15Updated last year
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆30Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- ☆25Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatiopytorch☆10Updated 2 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆27Updated last year
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆42Updated 2 years ago
- NN 2023☆21Updated 2 years ago