Alternatives and similar repositories for max-separation-as-inductive-bias:

Users that are interested in max-separation-as-inductive-bias are comparing it to the libraries listed below

• elad-amrani / self-classifier
  PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022
  ☆48Updated 2 years ago
• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆42Updated 2 years ago
• MadryLab / data-transfer
  ☆36Updated 2 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆36Updated last year
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• dlmacedo / distinction-maximization-loss
  A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…
  ☆45Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆29Updated 2 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• NingMiao / InstaAug
  ☆13Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• dydjw9 / Efficient_SAM
  ☆57Updated 2 years ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆40Updated 2 years ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆28Updated 2 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• guyAmit / GLOD
  Github for the conference paper GLOD-Gaussian Likelihood OOD detector
  ☆16Updated 3 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• xxxnell / spatial-smoothing
  (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…
  ☆78Updated 2 years ago
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆28Updated last year
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆121Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• google-deepmind / ssl_hsic
  ☆37Updated 8 months ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆41Updated 2 years ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year