Alternatives and similar repositories for LabelNoiseMOIT:

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

• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆43Updated 2 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆23Updated 4 years ago
• NUST-Machine-Intelligence-Laboratory / Jo-SRC
  ☆7Updated 4 years ago
• yingyichen-cyy / Nested-Co-teaching
  (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise
  ☆48Updated 2 years ago
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 4 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆48Updated last year
• JoyHuYY1412 / DDE_CIL
  ☆60Updated 3 years ago
• ErikEnglesson / GJS
  The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…
  ☆21Updated 3 years ago
• yanbeic / ssl-class-mismatch
  Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch
  ☆15Updated 3 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 3 years ago
• huangjk97 / T2T
  Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
  ☆25Updated 3 years ago
• tmllab / 2021_ICCV_Me-Momentum
  ☆14Updated 2 years ago
• zhunzhong07 / NCL
  Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021
  ☆74Updated 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 2 years ago
• bbuing9 / DARP
  Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)
  ☆73Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• ZhenWang-PhD / Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning
  Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’
  ☆20Updated 4 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆30Updated 3 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• silvia1993 / ROS
  Rotation-based Open Set
  ☆41Updated 2 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 4 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆36Updated 3 years ago
• ydkim1293 / NLNL-Negative-Learning-for-Noisy-Labels
  NLNL: Negative Learning for Noisy Labels
  ☆104Updated 5 years ago
• dvlab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆147Updated 3 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆53Updated 3 years ago
• ArmanAfrasiyabi / associative-alignment-fs
  Code for "Associative alignment for few-shot image classification"- ECCV'2020.
  ☆20Updated 4 years ago
• deeplearning-wisc / multi-label-ood
  ☆44Updated 3 years ago
• feidfoe / AdjustBnd4Imbalance
  Adjust Decision Boundary for Class Imbalanced Learning
  ☆19Updated 4 years ago