PatrickHua / FeatureDecorrelationSSL

Related projects ⓘ

Alternatives and complementary repositories for FeatureDecorrelationSSL

• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆37Updated 2 years ago
• zhuxinqimac / PS-SC
  Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.
  ☆44Updated 2 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated last year
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆125Updated last year
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆116Updated 2 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆83Updated 2 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆70Updated 4 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆84Updated 2 years ago
• kibok90 / imix
  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
  ☆77Updated 10 months ago
• hankook / AugSelf
  ☆44Updated 3 years ago
• xxxnell / spatial-smoothing
  (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…
  ☆77Updated 2 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆59Updated 2 years ago
• Annusha / temperature_schedules
  Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)
  ☆18Updated last year
• zju-vipa / ProtoPFormer
  ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
  ☆34Updated last year
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆98Updated last year
• cianeastwood / bufr
  Bottom-up feature restoration
  ☆15Updated 2 years ago
• YugeTen / adios
  ☆63Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆105Updated last year
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆88Updated 3 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆38Updated last year
• elad-amrani / self-classifier
  PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022
  ☆48Updated 2 years ago
• p3i0t / SimCLR-CIFAR10
  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
  ☆56Updated 4 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 2 years ago
• PatrickHua / SimpleMAE
  ☆24Updated 3 years ago
• yueatsprograms / ttt_cifar_release
  TTT Code Release
  ☆128Updated 4 years ago
• bytedance / TWIST
  Official codes: Self-Supervised Learning by Estimating Twin Class Distribution
  ☆96Updated 2 years ago
• ejkim47 / prob-cbm
  Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"
  ☆16Updated last year
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 2 years ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆77Updated 2 years ago
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆78Updated last year