wanglichenxj / Dual-Relation-Semi-supervised-Multi-label-Learning

Related projects ⓘ

Alternatives and complementary repositories for Dual-Relation-Semi-supervised-Multi-label-Learning

• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated last year
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆13Updated 3 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆45Updated 10 months ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆30Updated 3 years ago
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 2 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 3 years ago
• ShikunLi / Estimating_T_For_Noisy_Mutli-Labels
  NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
  ☆17Updated last year
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆35Updated 2 years ago
• liuyudut / MUC
  A Generic Multi-classifier Paradigm forIncremental Learning
  ☆11Updated 4 years ago
• salesforce / RRL
  ☆16Updated 2 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆40Updated 4 years ago
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 3 years ago
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆31Updated 3 years ago
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 4 years ago
• hbdat / cvpr20_IMCL
  Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20
  ☆20Updated 2 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 5 years ago
• yue-zhongqi / tcm
  ☆32Updated 3 years ago
• raywzy / VSC
  Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019
  ☆44Updated 5 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• ErikEnglesson / GJS
  The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…
  ☆21Updated 2 years ago
• junbaoZHUO / UODTN
  Codes for UODTN; Open domain recognition; CVPR19
  ☆45Updated 3 years ago
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 3 years ago
• cadurosar / graph_kd
  Graph Knowledge Distillation
  ☆13Updated 4 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• wyf0912 / MIXALL
  [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
  ☆24Updated 4 years ago
• XLearning-SCU / 2021-CVPR-MRL
  Learning Cross-modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)
  ☆13Updated 3 years ago
• k-r-allen / imp
  infinite mixture prototypes for few-shot learning
  ☆50Updated 2 years ago
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 3 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• huang50213 / AIM-Fewshot-Continual
  ☆28Updated 3 years ago