Alternatives and similar repositories for BLTM

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

• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆76Updated 4 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆93Updated 3 years ago
• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆61Updated last year
• Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio
  pytorch
  ☆10Updated 3 years ago
• xiaoboxia / Part-dependent-label-noise
  NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
  ☆59Updated 4 years ago
• lijichang / LNL-NCE
  A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…
  ☆25Updated 2 years ago
• weitongseu / PCL
  ☆10Updated 3 years ago
• LAMDA-CL / Awesome-open-world-learning
  Awesome-open-world-learning
  ☆26Updated 3 years ago
• LTH14 / targeted-supcon
  A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition
  ☆102Updated last year
• snap-stanford / orca
  [ICLR 2022] Open-World Semi-Supervised Learning
  ☆101Updated 3 years ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆29Updated last year
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆59Updated last year
• xiaoboxia / Classification-with-noisy-labels-by-importance-reweighting
  TPAMI: Classification with noisy labels by importance reweighting.
  ☆40Updated 5 years ago
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆37Updated 4 years ago
• KaihuaTang / Generalized-Long-Tailed-Benchmarks.pytorch
  [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…
  ☆126Updated 11 months ago
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆60Updated 2 years 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.
  ☆61Updated 3 years ago
• wu-dd / Advances-in-Partial-and-Complementary-Label-Learning
  A curated list of most recent papers & codes in Learning with Partial/Complementary Labels
  ☆59Updated 7 months ago
• Chumsy0725 / logit-adj-pytorch
  PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment
  ☆114Updated 3 years ago
• Gank0078 / ACR
  Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)
  ☆71Updated 2 years ago
• JianhongBai / BaCon
  Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)
  ☆26Updated last year
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆52Updated 4 years ago
• thuml / Debiased-Self-Training
  Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)
  ☆53Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated 2 years ago
• SCUT-AILab / CPGA
  ☆49Updated last year
• xiemk / SPML-LAC
  ☆16Updated 2 years ago
• uitrbn / TSCSI_IDN
  ☆13Updated 2 years ago
• Lackel / DPN
  [AAAI 2023] Generalized Category Discovery with Decoupled Prototypical Network
  ☆33Updated last year
• shengliu66 / SOP
  Official Implementation of Robust Training under Label Noise by Over-parameterization
  ☆64Updated 2 years ago
• hongxin001 / ODNL
  Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)
  ☆20Updated 3 years ago