Alternatives and similar repositories for Probabilistic_Deep_Metric_Learning:

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

• ExplainableML / NonIsotropicProxyDML
  This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".
  ☆14Updated last year
• alsdml / StyleMix
  ☆32Updated 3 years ago
• salesforce / ensemble-of-averages
  ☆29Updated last year
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆29Updated 3 years ago
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆38Updated 3 years ago
• KingJamesSong / RankFeat
  NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension
  ☆19Updated last week
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆24Updated last year
• mchiquier / llm-mutate
  ☆12Updated 4 months ago
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆35Updated 3 years ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 3 years ago
• james-oldfield / muMoE
  [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
  ☆29Updated 5 months ago
• luoyan407 / congruency
  [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"
  ☆23Updated 5 years ago
• ermongroup / NDA
  ☆23Updated 3 years ago
• deeplearning-wisc / NSCL
  Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"
  ☆13Updated last year
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆39Updated 10 months ago
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆40Updated 3 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
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆47Updated 7 months ago
• huang50213 / AIM-Fewshot-Continual
  ☆29Updated 3 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• Wangt-CN / EqInv
  [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"
  ☆18Updated 2 years ago
• Nanne / ProtoSim
  Code and instructions accompanying ICCV'23 paper Protoype-based Dataset Comparison
  ☆17Updated last year
• naver-ai / hmix-gmix
  ☆21Updated 2 years ago
• dvirsamuel / DRAGON
  [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
  ☆28Updated 3 years ago
• seonwoo-min / GVRT
  [ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization
  ☆31Updated last year
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago