Alternatives and similar repositories for Meta-Weight-Net_Code-Optimization

Users that are interested in Meta-Weight-Net_Code-Optimization are comparing it to the libraries listed below

• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆78Updated 4 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆47Updated 2 years ago
• a5507203 / Instance-dependent-Label-noise-Learning-under-a-Structural-Causal-Model
  ☆17Updated 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…
  ☆47Updated 3 years ago
• a5507203 / dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning
  ☆15Updated 2 years ago
• m-Just / OoD-Bench
  ☆44Updated last month
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆90Updated 4 years ago
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆52Updated 5 years ago
• ynysjtu / ood_bench
  ☆49Updated 3 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆291Updated 4 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆95Updated 3 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
  [AAAI 21] Utilizing meta-learning to correct the noisy labels.
  ☆15Updated 4 years ago
• weitongseu / PCL
  ☆10Updated 3 years ago
• chenpf1025 / IDN
  AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
  ☆35Updated 4 years ago
• FengHZ / KD3A
  Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…
  ☆119Updated 3 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 5 years ago
• LAMDA-CL / Awesome-open-world-learning
  Awesome-open-world-learning
  ☆26Updated 4 years ago
• hongwei-wen / LW-loss-for-partial-label
  ☆24Updated 3 years ago
• SII-Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆14Updated 3 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆42Updated 2 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆45Updated 2 years ago
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆87Updated 3 years ago
• moukamisama / F2M
  ☆35Updated 3 years ago
• ryanchankh / cifar100coarse
  Build PyTorch CIFAR100 using coarse labels
  ☆39Updated 5 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆50Updated 4 months ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆29Updated 2 years ago
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆38Updated 4 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆42Updated 2 years ago
• huaxiuyao / MetaMix
  MetaMix for ICML 2021
  ☆27Updated 4 years ago