Alternatives and similar repositories for PARM

Users that are interested in PARM are comparing it to the libraries listed below

• wwangwitsel / PLDA
  [KDD'22] Partial Label Learning with Discrimination Augmentation
  ☆10Updated last year
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆30Updated 2 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆95Updated 3 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆78Updated 4 years ago
• SII-Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆15Updated 3 years ago
• wwangwitsel / ConfDiff
  [NeurIPS'23] Binary Classification with Confidence Difference
  ☆10Updated last year
• Haoang97 / MEDI
  Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".
  ☆17Updated 2 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆50Updated 5 months ago
• hongwei-wen / LW-loss-for-partial-label
  ☆25Updated 3 years ago
• xiemk / SPML-LAC
  ☆16Updated 3 years ago
• Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio
  pytorch
  ☆10Updated 3 years ago
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆19Updated 2 years ago
• guixianjin / noisy_label_papers
  This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.
  ☆36Updated 4 years ago
• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆62Updated last year
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆52Updated 5 years ago
• lblaoke / TLC
  PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)
  ☆61Updated 2 years ago
• wwangwitsel / SCARCE
  [ICML 2024] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
  ☆12Updated last year
• lijichang / LNL-NCE
  A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…
  ☆26Updated 2 years ago
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆38Updated 4 years ago
• liyi01827 / noisy-contrastive
  A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)
  ☆44Updated 3 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆49Updated 3 years ago
• Chumsy0725 / logit-adj-pytorch
  PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment
  ☆117Updated 4 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆25Updated 5 years ago
• tmllab / 2021_ICCV_Me-Momentum
  ☆14Updated 3 years ago
• GZWQ / Awesome-Long-Tailed
  Papers about long-tailed tasks
  ☆90Updated 3 years ago
• MediaBrain-SJTU / RECORDS-LTPLL
  [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"
  ☆58Updated 2 years ago
• SCUT-AILab / CPGA
  ☆49Updated 2 years ago
• HC-Feynman / vpu
  A PyTorch implementation of the Variational approach for PU learning
  ☆32Updated 5 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆41Updated 4 years ago
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆29Updated 3 years ago