Alternatives and similar repositories for MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio

Users that are interested in MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio are comparing it to the libraries listed below

• ShuoYang-1998 / BLTM
  [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
  ☆19Updated 2 years ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆29Updated last year
• xiemk / SPML-LAC
  ☆16Updated 2 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆76Updated 4 years ago
• zhuohuangai / SharpDRO
  Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
  ☆13Updated 2 years ago
• uitrbn / TSCSI_IDN
  ☆13Updated 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
• weitongseu / Long-Tailed-OOD-Detection
  We present a new method for long-tailed out-of-distribution detection
  ☆15Updated 5 months ago
• weitongseu / PCL
  ☆10Updated 2 years ago
• xuefeng-li1 / Provably-end-to-end-label-noise-learning-without-anchor-points
  ☆12Updated 4 years ago
• jkatzsam / woods_ood
  ☆16Updated 3 years ago
• tmlr-group / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆10Updated 4 months ago
• a5507203 / Instance-dependent-Label-noise-Learning-under-a-Structural-Causal-Model
  ☆16Updated last year
• wwangwitsel / PARM
  [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
  ☆21Updated 3 years ago
• pandeydeep9 / EvidentialResearch2023
  Analysis of evidential models
  ☆13Updated 2 years ago
• tmllab / 2021_ICCV_Me-Momentum
  ☆14Updated 2 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…
  ☆45Updated 2 years ago
• hongwei-wen / LW-loss-for-partial-label
  ☆24Updated 3 years ago
• ningkp / LfOSA
  ☆19Updated 3 years ago
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆26Updated last year
• YUE-FAN / SSB
  ☆9Updated last year
• salesforce / RRL
  ☆17Updated last month
• 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
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆49Updated last year
• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆61Updated last year
• a5507203 / dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning
  ☆15Updated last year
• hongxin001 / ODNL
  Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)
  ☆20Updated 2 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• njustkmg / NeurIPS2023-PAL
  NeurIPS2023
  ☆8Updated last year
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆28Updated 3 years ago