Alternatives and similar repositories for MetaContrastive:

Users that are interested in MetaContrastive are comparing it to the libraries listed below

• val-iisc / Saddle-LongTail
  [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
  ☆23Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆35Updated 2 years ago
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆55Updated 2 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated last year
• deeplearning-wisc / Spurious_OOD
  ☆22Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆47Updated last year
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆44Updated 2 years ago
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 years ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆90Updated 4 years ago
• salesforce / ensemble-of-averages
  ☆29Updated last year
• zeyademam / active_learning
  Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…
  ☆52Updated 3 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆95Updated 2 years ago
• aengusl / spawrious
  ☆26Updated last year
• izmailovpavel / spurious_feature_learning
  ☆44Updated 2 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆44Updated last year
• RenkunNi / MetaAug
  ☆27Updated 3 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• Mattdl / RehearsalRevealed
  Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
  ☆27Updated 3 years ago
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆70Updated 9 months ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• Johswald / learning_where_to_learn
  ☆38Updated 4 months ago
• yaoyao-liu / online-hyperparameter-optimization
  PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)
  ☆17Updated last year
• QizhouWang / DOE
  ☆25Updated last year
• deeplearning-wisc / dice
  Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"
  ☆40Updated 2 years ago