Alternatives and similar repositories for Awesome-LongTailed-Recognition

Users that are interested in Awesome-LongTailed-Recognition are comparing it to the libraries listed below

• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆105Updated 4 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆126Updated 4 years ago
• xiangjjj / implicit_alignment
  Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"
  ☆90Updated 4 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆151Updated 4 years ago
• ydkim1293 / NLNL-Negative-Learning-for-Noisy-Labels
  NLNL: Negative Learning for Noisy Labels
  ☆104Updated 5 years ago
• perrying / pytorch-consistency-regularization
  PyTorch implementation of consistency regularization methods for semi-supervised learning
  ☆78Updated 4 years ago
• Lan1991Xu / ONE_NeurIPS2018
  ☆61Updated 5 years ago
• salesforce / MoPro
  MoPro: Webly Supervised Learning
  ☆87Updated 2 months ago
• xingruiyu / coteaching_plus
  ICML'19 How does Disagreement Help Generalization against Label Corruption?
  ☆85Updated 6 years ago
• YisenWang / symmetric_cross_entropy_for_noisy_labels
  Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
  ☆170Updated 4 years ago
• google-research / remixmatch
  ☆129Updated 2 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆98Updated last year
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• HanxunH / SCELoss-Reproduce
  Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
  ☆187Updated 4 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• hongxin001 / JoCoR
  CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
  ☆126Updated last year
• yue-zhongqi / ifsl
  [NeurIPS 2020] Released code for Interventional Few-Shot Learning
  ☆169Updated 3 years ago
• leokarlin / LaSO
  LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
  ☆89Updated last year
• seominseok0429 / label-smoothing-visualization-pytorch
  When Does Label Smoothing Help?_pytorch_implementationimp
  ☆125Updated 5 years ago
• AlanChou / Truncated-Loss
  PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
  ☆128Updated 5 years ago
• alinlab / cs-kd
  Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)
  ☆108Updated 5 years ago
• thuml / CoTuning
  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  ☆40Updated 3 years ago
• feidfoe / AdjustBnd4Imbalance
  Adjust Decision Boundary for Class Imbalanced Learning
  ☆19Updated 5 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• ChrisAllenMing / Mixup_for_UDA
  Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).
  ☆163Updated 5 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 2 years ago
• xuguodong03 / SSKD
  [ECCV2020] Knowledge Distillation Meets Self-Supervision
  ☆237Updated 2 years ago
• yikun2019 / PENCIL
  PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
  ☆139Updated 6 years ago
• alinlab / M2m
  Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
  ☆96Updated 3 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆176Updated 3 years ago