wu-dd / Advances-in-Partial-and-Complementary-Label-Learning
A curated list of most recent papers & codes in Learning with Partial/Complementary Labels
☆54Updated 3 months ago
Alternatives and similar repositories for Advances-in-Partial-and-Complementary-Label-Learning:
Users that are interested in Advances-in-Partial-and-Complementary-Label-Learning are comparing it to the libraries listed below
- ☆55Updated 10 months ago
- ☆23Updated 2 years ago
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆24Updated 6 months ago
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆22Updated last year
- A list of awesome partial-label learning papers and codes.☆36Updated last year
- Source code for NeurIPS 2022 paper SoLar☆27Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆91Updated 2 years ago
- ☆16Updated 2 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆59Updated 2 years ago
- ☆13Updated 2 years ago
- We present a new method for long-tailed out-of-distribution detection☆12Updated last month
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated last year
- ☆14Updated 9 months ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆98Updated last year
- [CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted …☆22Updated last year
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆74Updated 4 months ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆76Updated 3 years ago
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆46Updated 4 years ago
- The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"☆44Updated last year
- NeurIPS2023☆7Updated last year
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆58Updated 2 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆61Updated 5 months ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆26Updated 8 months ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆19Updated 2 years ago
- Official code of "ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning"☆22Updated last year
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆36Updated 4 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆68Updated last year