Alternatives and similar repositories for 2021_ICCV_Me-Momentum:

Users that are interested in 2021_ICCV_Me-Momentum are comparing it to the libraries listed below

• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆75Updated 3 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆90Updated 2 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆43Updated 2 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• lijichang / LNL-NCE
  A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…
  ☆25Updated last year
• JoyHuYY1412 / DDE_CIL
  ☆59Updated 2 years ago
• DiegoOrtego / LabelNoiseMOIT
  Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"
  ☆39Updated 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
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆36Updated 3 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
• youjiangxu / FaMUS
  ☆29Updated 3 years ago
• SCUT-AILab / CPGA
  ☆46Updated last year
• YuheD / ProxyMix
  NN 2023
  ☆21Updated 2 years ago
• tmllab / 2021_NeurIPS_PES
  ☆30Updated 2 years ago
• liyi01827 / noisy-contrastive
  A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)
  ☆40Updated 2 years ago
• 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
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆40Updated 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…
  ☆44Updated 2 years ago
• dhanajitb / petal
  Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)
  ☆13Updated last year
• Albert0147 / BAIT_SFUDA
  Unsupervised Domain Adaptation without Source Data by Casting a BAIT
  ☆24Updated 2 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
• Gorilla-Lab-SCUT / UB2DA
  This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.
  ☆10Updated 3 years ago
• zjysteven / MixOE
  [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
  ☆27Updated last year
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆67Updated 2 years ago
• chrysts / geodesic_continual_learning
  This is a public repository for:
  ☆38Updated 3 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆50Updated 4 years ago
• salesforce / RRL
  ☆17Updated 2 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆51Updated 2 years ago
• huangjk97 / T2T
  Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
  ☆24Updated 3 years ago