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

• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆55Updated 10 months ago
• hongwei-wen / LW-loss-for-partial-label
  ☆23Updated 2 years ago
• palm-ml / valen
  Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）
  ☆24Updated 6 months ago
• eddiexia98 / PaPi
  Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.
  ☆22Updated last year
• 1998v7 / Advances-in-Partial-Label-Learning
  A list of awesome partial-label learning papers and codes.
  ☆36Updated last year
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆27Updated last year
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆91Updated 2 years ago
• xiemk / SPML-LAC
  ☆16Updated 2 years ago
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆59Updated 2 years ago
• uitrbn / TSCSI_IDN
  ☆13Updated 2 years ago
• Stomach-ache / Long-Tailed-OOD-Detection
  We present a new method for long-tailed out-of-distribution detection
  ☆12Updated last month
• lijichang / LNL-NCE
  A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…
  ☆25Updated last year
• WNJXYK / DeCoOp
  ☆14Updated 9 months ago
• LTH14 / targeted-supcon
  A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition
  ☆98Updated last year
• lijian16 / FCC
  [CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted …
  ☆22Updated last year
• shijxcs / LIFT
  Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)
  ☆74Updated 4 months ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆76Updated 3 years ago
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆46Updated 4 years ago
• JackYFL / DISC
  The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
  ☆44Updated last year
• njustkmg / NeurIPS2023-PAL
  NeurIPS2023
  ☆7Updated last year
• yfzhang114 / Environment-Label-Smoothing
  This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…
  ☆58Updated 2 years ago
• nazmul-karim170 / UNICON
  [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…
  ☆61Updated 5 months ago
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆26Updated 8 months ago
• ShuoYang-1998 / BLTM
  [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
  ☆19Updated 2 years ago
• zeroQiaoba / ALIM
  Official code of "ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning"
  ☆22Updated last year
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆36Updated 4 years ago
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆68Updated last year