Alternatives and similar repositories for LaGAM:

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

• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆27Updated last year
• WNJXYK / DeCoOp
  ☆14Updated 9 months ago
• wu-dd / Advances-in-Partial-and-Complementary-Label-Learning
  A curated list of most recent papers & codes in Learning with Partial/Complementary Labels
  ☆54Updated 3 months ago
• warriors-30 / SFAT-paddle
  ☆24Updated last year
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆26Updated 9 months ago
• tmlr-group / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆19Updated 5 months ago
• NOVAglow646 / OOD-Generalization-Paper-Reading-Notes
  OOD Generalization相关文章的阅读笔记
  ☆32Updated 3 months ago
• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆55Updated 11 months ago
• Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio
  pytorch
  ☆10Updated 2 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆91Updated 3 years ago
• njustkmg / NeurIPS2023-PAL
  NeurIPS2023
  ☆7Updated last year
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated last year
• wxr99 / HolisticPU
  Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]
  ☆9Updated last year
• tmllab / 2023_ICLR_Moderate-DS
  ☆28Updated 2 years ago
• uitrbn / TSCSI_IDN
  ☆13Updated 2 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated last year
• Stomach-ache / PCL
  ☆10Updated 2 years ago
• wangyu-ustc / LM4CV
  The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**
  ☆43Updated last year
• ShuoYang-1998 / BLTM
  [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
  ☆19Updated 2 years ago
• Stomach-ache / Long-Tailed-OOD-Detection
  We present a new method for long-tailed out-of-distribution detection
  ☆14Updated 2 months ago
• wwangwitsel / PARM
  [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
  ☆20Updated 2 years ago
• zhangyikaii / Model-Spider
  The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
  ☆17Updated 11 months ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆85Updated 11 months ago
• xiemk / SPML-LAC
  ☆16Updated 2 years ago
• LeapLabTHU / ProCo
  [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
  ☆78Updated 6 months ago
• Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆14Updated 2 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• ningkp / LfOSA
  ☆19Updated 2 years ago
• JackYFL / DISC
  The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
  ☆46Updated last year
• Purshow / Awesome-LVLM-Hallucination
  ☆45Updated 4 months ago