cgnorthcutt / confidentlearning-reproduce

Related projects: ⓘ

• littleredxh / HardNegative
  ☆51Updated 3 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆59Updated 5 years ago
• dagouchin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆99Updated 4 years ago
• google-research / noisy-fewshot-learning
  ☆23Updated 3 years ago
• Frozenmad / MetaDelta
  1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge…
  ☆46Updated 2 years ago
• microsoft / metric-transfer.pytorch
  Deep Metric Transfer for Label Propagation with Limited Annotated Data
  ☆49Updated last year
• vfdev-5 / BootstrappingLoss
  Bootstrapping loss function implementation in pytorch
  ☆36Updated 3 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 4 years ago
• xiangli13 / circle-loss
  tf2.0 implementation of circle loss
  ☆32Updated 4 years ago
• 2han9x1a0release / RBF-Softmax
  ☆37Updated 4 years ago
• wy1iu / NSL
  Implementation for <Neural Similarity Learning> in NeurIPS'19.
  ☆33Updated 4 years ago
• bomri / code-for-posts
  code scripts for blog posts I published
  ☆13Updated 4 years ago
• MLforHealth / S2SD
  (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…
  ☆41Updated 4 years ago
• ahmdtaha / softmax_triplet_loss
  (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
  ☆22Updated 2 years ago
• Yochengliu / MLIC-KD-WSD
  Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)
  ☆58Updated 2 years ago
• MAC-AutoML / YOCO-BERT
  The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Natu…
  ☆48Updated 3 years ago
• zihangm / RAL_GNN
  ☆20Updated 5 years ago
• lorenmt / shape-adaptor
  The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].
  ☆73Updated 3 years ago
• gstrezoski / TaskRouting
  (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…
  ☆63Updated 4 years ago
• SHTUPLUS / ContextLab
  ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch
  ☆39Updated 4 years ago
• wangkai930418 / continual-learning-papers-and-codes
  ☆27Updated this week
• StacyYang / AutoTorch
  AutoTorch, A HPO Toolkit
  ☆59Updated 4 years ago
• chenpf1025 / RobustnessAccuracy
  AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
  ☆23Updated 3 years ago
• Dyfine / SphericalEmbedding
  official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020
  ☆40Updated 3 years ago
• JiechaoGuan / FSL-DAPNA
  ☆47Updated this week
• d-li14 / DHM
  [CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
  ☆84Updated 4 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated last year
• peisuke / UnsupervisedDataAugmentation.pytorch
  ☆14Updated 5 years ago
• dmayo / ObjectNet-Analysis
  ☆25Updated 4 years ago
• jizongFox / pytorch-randaugment
  Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.
  ☆36Updated 2 years ago