Alternatives and similar repositories for LW-loss-for-partial-label:

Users that are interested in LW-loss-for-partial-label are comparing it to the libraries listed below

• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆47Updated 4 years ago
• wwangwitsel / PARM
  [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
  ☆20Updated 2 years ago
• Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio
  pytorch
  ☆10Updated 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
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆76Updated 3 years ago
• ningkp / LfOSA
  ☆19Updated 2 years ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆27Updated last year
• Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆14Updated 2 years ago
• lijichang / LNL-NCE
  A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…
  ☆25Updated last year
• 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
• guolz-ml / DS3L
  The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2…
  ☆50Updated 4 years ago
• ShuoYang-1998 / BLTM
  [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
  ☆19Updated 2 years ago
• njustkmg / NeurIPS2023-PAL
  NeurIPS2023
  ☆7Updated last year
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆36Updated 4 years ago
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆89Updated 3 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆91Updated 3 years ago
• xiemk / SPML-LAC
  ☆16Updated 2 years ago
• xiaoboxia / Classification-with-noisy-labels-by-importance-reweighting
  TPAMI: Classification with noisy labels by importance reweighting.
  ☆40Updated 5 years ago
• guixianjin / noisy_label_papers
  This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.
  ☆35Updated 3 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆43Updated 2 years ago
• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆55Updated 11 months ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆59Updated 3 years ago
• NJU-CLLab / Awesome-open-world-learning
  Awesome-open-world-learning
  ☆25Updated 3 years ago
• Stomach-ache / Long-Tailed-OOD-Detection
  We present a new method for long-tailed out-of-distribution detection
  ☆14Updated 2 months ago
• a5507203 / Instance-dependent-Label-noise-Learning-under-a-Structural-Causal-Model
  ☆16Updated last year
• 1998v7 / Advances-in-Partial-Label-Learning
  A list of awesome partial-label learning papers and codes.
  ☆36Updated last year
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆85Updated 2 years ago
• tmllab / 2021_ICCV_Me-Momentum
  ☆14Updated 2 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆47Updated last year
• guolz-ml / Survey-on-Robust-Semi-Supervised-Learning
  Survey on Robust Weakly Supervised Learning
  ☆13Updated 3 years ago