Alternatives and similar repositories for sas-data-efficient-contrastive-learning

Users that are interested in sas-data-efficient-contrastive-learning are comparing it to the libraries listed below

• BigML-CS-UCLA / CREST
  Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
  ☆13Updated last year
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆98Updated 3 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆124Updated 2 years ago
• hlzhang109 / DDG
  [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization
  ☆61Updated 2 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆44Updated last year
• QizhouWang / DOE
  ☆26Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated 2 years ago
• snap-stanford / orca
  [ICLR 2022] Open-World Semi-Supervised Learning
  ☆101Updated 3 years ago
• aimagelab / LiDER
  Official implementation of "On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning"
  ☆14Updated 2 years ago
• Impression2805 / CVPR21_PASS
  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
  ☆112Updated 2 years ago
• VITA-Group / FreeTickets
  [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…
  ☆27Updated 2 years ago
• m-Just / OoD-Bench
  ☆44Updated 2 months ago
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆44Updated 4 months ago
• bwbwzhao / DELTA
  ☆23Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated last year
• sungnyun / openssl-simcore
  (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
  ☆28Updated last year
• MachineLearning2020 / Homework3-PACS
  ☆34Updated 5 years ago
• jkatzsam / woods_ood
  ☆16Updated 3 years ago
• TaesikGong / NOTE
  The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"
  ☆45Updated last year
• yanbeic / ssl-class-mismatch
  Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch
  ☆15Updated 4 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆96Updated 2 years ago
• sangwon-jung94 / AGS-CL
  ☆19Updated 4 years ago
• sshan-zhao / DG_via_ER
  Domain Generalization via Entropy Regularization, NeurIPS'20
  ☆66Updated 4 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 2 years ago
• srvCodes / continual-learning-benchmark
  Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance tech…
  ☆52Updated last year
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆64Updated 2 years ago
• zjysteven / MixOE
  [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
  ☆27Updated 2 years ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆24Updated last year
• alsdml / StyleMix
  ☆33Updated 3 years ago