Alternatives and similar repositories for DAT:

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

• yue-zhongqi / tcm
  ☆33Updated 3 years ago
• Xiang-Deng-DL / CID
  The implementation for "Comprehensive Knowledge Distillation with Causal Intervention".
  ☆14Updated 3 years ago
• wwangwitsel / PARM
  [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
  ☆20Updated 2 years ago
• Wangt-CN / CaaM
  [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition
  ☆77Updated last year
• DTennant / CL-Visualizing-Feature-Transformation
  Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
  ☆90Updated 3 years ago
• thuml / Transferable-Query-Selection
  Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)
  ☆24Updated 3 years ago
• Bibkiller / ASR
  ☆13Updated 3 years ago
• Yikai-Wang / SPR-LNL
  This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.
  ☆18Updated last year
• frank-xwang / CLD-UnsupervisedLearning
  [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."
  ☆101Updated 2 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆43Updated 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
• idiap / model-uncertainty-for-adaptation
  Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021
  ☆51Updated 2 years ago
• hongxin001 / JoCoR
  CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
  ☆126Updated last year
• alibaba-edu / Ranking-based-Instance-Selection
  Ranking-based-Instance-Selection
  ☆32Updated 3 years ago
• BIT-DA / DDA
  Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)
  ☆33Updated 3 years ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• guixianjin / noisy_label_papers
  This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.
  ☆35Updated 3 years ago
• hitcszx / lnl_sr
  Learning with Noisy Labels via Sparse Regularization, ICCV2021
  ☆45Updated 2 years ago
• lancopku / well-classified-examples-are-underestimated
  Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
  ☆51Updated 2 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• LIVIAETS / MT-MTDA
  ☆19Updated 4 years ago
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆30Updated 4 years ago
• richard-peng-xia / LMPT
  [ACLW'24] LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
  ☆50Updated 7 months ago
• UMBCvision / ISD
  ISD: Self-Supervised Learning by Iterative Similarity Distillation
  ☆36Updated 3 years ago
• BackupGithub-AI / LAH
  ☆10Updated 2 years ago
• Gorilla-Lab-SCUT / UB2DA
  This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.
  ☆10Updated 3 years ago
• yanyanSann / Long-Tailed-Classification-Leaderboard
  ☆29Updated 4 years ago
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆85Updated 2 years ago
• cyang-cityu / MetaCorrection
  [CVPR'21] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
  ☆45Updated 2 years ago