Alternatives and similar repositories for Survey-on-Robust-Semi-Supervised-Learning:

Users that are interested in Survey-on-Robust-Semi-Supervised-Learning are comparing it to the libraries listed below

• salesforce / RRL
  ☆17Updated 3 years ago
• Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio
  pytorch
  ☆10Updated 3 years ago
• palm-ml / valen
  Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）
  ☆24Updated 7 months ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆28Updated last year
• hongwei-wen / LW-loss-for-partial-label
  ☆23Updated 2 years ago
• LAMDA-CL / Awesome-open-world-learning
  Awesome-open-world-learning
  ☆25Updated 3 years ago
• Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆14Updated 3 years ago
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆49Updated 4 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆76Updated 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…
  ☆44Updated last year
• wwangwitsel / PARM
  [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
  ☆20Updated 2 years ago
• WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
  [AAAI 21] Utilizing meta-learning to correct the noisy labels.
  ☆14Updated 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
• hongxin001 / open-sampling
  Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets
  ☆15Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated last year
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆36Updated 4 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
• a5507203 / Instance-dependent-Label-noise-Learning-under-a-Structural-Causal-Model
  ☆16Updated last year
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated 2 years ago
• Han-Jia / LastShot
  ☆20Updated 2 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆59Updated 3 years ago
• Haoang97 / MEDI
  Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".
  ☆17Updated last year
• ningkp / LfOSA
  ☆19Updated 2 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• Stomach-ache / PCL
  ☆10Updated 2 years ago
• guangxinsuuu / Positive-and-Unlabeled-Learning-from-Imbalanced-Data
  Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21
  ☆16Updated 3 years ago
• Luodian / IIB
  ☆16Updated 3 years ago
• xiaoboxia / Classification-with-noisy-labels-by-importance-reweighting
  TPAMI: Classification with noisy labels by importance reweighting.
  ☆40Updated 5 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