ptrckhmmr / DEAL

Related projects: ⓘ

• osimeoni / RethinkingDeepActiveLearning
  ☆15Updated 3 years ago
• acl21 / deep-active-learning-pytorch
  A PyTorch toolkit with 8 popular deep active learning query methods implemented.
  ☆81Updated 3 years ago
• bbuing9 / DARP
  Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)
  ☆70Updated 2 years ago
• johnsk95 / PT4AL
  Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"
  ☆54Updated 4 months ago
• Javadzb / Class-Balanced-AL
  ☆23Updated 2 years ago
• guyera / Generalized-ODIN-Implementation
  ☆24Updated 2 years ago
• PrateekMunjal / TorchAL
  Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
  ☆64Updated last year
• ebennequin / few-shot-open-set
  Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
  ☆37Updated last year
• avihu111 / TypiClust
  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
  ☆76Updated last month
• VisionLearningGroup / OP_Match
  ☆56Updated last year
• LeeHyuck / ABC
  pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
  ☆36Updated 2 years ago
• mongeoroo / Relevance-CAM
  The official code of Relevance-CAM
  ☆41Updated 6 months ago
• deeplearning-wisc / multi-label-ood
  ☆43Updated 2 years ago
• afm-shahab-uddin / SaliencyMix
  SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
  ☆45Updated last year
• virajprabhu / CLUE
  PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)
  ☆38Updated 11 months ago
• AminParvaneh / alpha_mix_active_learning
  The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper
  ☆81Updated last year
• yanbeic / ssl-class-mismatch
  Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch
  ☆15Updated 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 3 years ago
• lileicv / PDEN
  ☆34Updated 3 years ago
• cjshui / WAAL
  Wasserstein Adversarial Active Learning
  ☆28Updated 4 years ago
• MinsungHyun / Class-Imbalanced-Semi-Supervised-Learning
  Class-Imbalanced Semi-Supervised Learning code
  ☆11Updated 3 years ago
• DiegoOrtego / LabelNoiseMOIT
  Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"
  ☆38Updated 2 years ago
• svdesai / coreset-al
  A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)
  ☆20Updated 3 years ago
• zjysteven / MixOE
  [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
  ☆24Updated last year
• mboudiaf / TIM
  (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
  ☆118Updated last year
• frank-xwang / debiased-pseudo-labeling
  [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”
  ☆96Updated last year
• amazon-science / few-shot-baseline
  ☆24Updated 3 years ago
• cubeyoung / TA-VAAL
  [CVPR2021] Task-Aware Variational Adversarial Active Learning
  ☆40Updated 6 months ago
• silvia1993 / ROS
  Rotation-based Open Set
  ☆40Updated last year
• joffery / UMGUD
  The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)
  ☆19Updated 2 years ago