Alternatives and similar repositories for ProximityBias-Calibration

Users that are interested in ProximityBias-Calibration are comparing it to the libraries listed below

• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• zhuohuangai / SharpDRO
  Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
  ☆13Updated 2 years ago
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆32Updated last year
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆46Updated 2 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆78Updated 4 years ago
• zhangmarvin / memo
  ☆71Updated 2 years ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆254Updated 2 years ago
• LAMDA-CL / Awesome-open-world-learning
  Awesome-open-world-learning
  ☆26Updated 4 years ago
• jkatzsam / woods_ood
  ☆16Updated 3 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• ShuoYang-1998 / BLTM
  [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
  ☆21Updated 3 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆52Updated 2 years ago
• warriors-30 / SFAT-paddle
  ☆24Updated 2 years ago
• ningkp / LfOSA
  ☆19Updated 3 years ago
• justincui03 / dc_benchmark
  ☆89Updated 3 years ago
• Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio
  pytorch
  ☆10Updated 3 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆63Updated 2 years ago
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated 2 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆49Updated 3 years ago
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated 2 years ago
• weitongseu / PCL
  ☆10Updated 3 years ago
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆182Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• dengbaowang / Rethinking-Calibration-of-Deep-Neural-Networks
  ☆15Updated 4 years ago
• Viperccc / RDIA
  ☆18Updated 3 years ago
• QizhouWang / DOE
  ☆26Updated 2 years ago
• zhangyikaii / Model-Spider
  The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
  ☆21Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 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…
  ☆42Updated 2 years ago