Alternatives and similar repositories for noisy_label_pretrain

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

• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆105Updated 3 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆101Updated 2 years ago
• razvancaramalau / Visual-Transformer-for-Task-aware-Active-Learning
  ☆27Updated 4 years ago
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆29Updated 4 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 5 years ago
• ContrastToDivide / C2D
  PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
  ☆71Updated 4 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• dnap512 / SelfReg
  PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
  ☆78Updated 3 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆152Updated 3 years ago
• UMBCvision / MSF
  Official code for "Mean Shift for Self-Supervised Learning"
  ☆57Updated 4 years ago
• elijahcole / single-positive-multi-label
  Multi-Label Learning from Single Positive Labels - CVPR 2021
  ☆98Updated last year
• salesforce / MoPro
  MoPro: Webly Supervised Learning
  ☆88Updated 6 months ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• dvlab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆149Updated 3 years ago
• NVlabs / CSG
  ☆28Updated 4 years ago
• uvavision / Curriculum-Labeling
  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
  ☆139Updated 4 years ago
• UMBCvision / ISD
  ISD: Self-Supervised Learning by Iterative Similarity Distillation
  ☆36Updated 4 years ago
• seongmin-kye / MCT
  Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
  ☆71Updated 4 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 4 years ago
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆89Updated 4 years ago
• alinlab / M2m
  Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
  ☆95Updated 3 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆44Updated 3 years ago
• hbdat / cvpr20_IMCL
  Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20
  ☆22Updated 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…
  ☆23Updated 3 years ago
• yingyichen-cyy / Nested-Co-teaching
  (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise
  ☆51Updated 2 years ago
• dvirsamuel / DRAGON
  [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
  ☆28Updated 4 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago