Alternatives and similar repositories for entropybaseduq:

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

• maohaos2 / PosthocUQ
  ☆15Updated 8 months ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆107Updated last year
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆24Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• valentyn1boreiko / DVCEs
  ☆39Updated 9 months ago
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆24Updated last year
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated 8 months ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆39Updated last year
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆33Updated 6 months ago
• PotatoTian / TPGM
  This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning
  ☆24Updated last year
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆27Updated 4 months ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆57Updated last year
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆11Updated 5 months ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆46Updated last year
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆135Updated last year
• Wang-ML-Lab / bayesian-peft
  [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
  ☆23Updated last month
• AmirooR / IntraOrderPreservingCalibration
  ☆12Updated 2 years ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆23Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆35Updated 2 years ago
• QizhouWang / DOE
  ☆25Updated last year
• kartikgupta-at-anu / spline-calibration
  Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"
  ☆21Updated last year
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• val-iisc / Saddle-LongTail
  [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
  ☆23Updated last year
• 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
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• mingukjang / TAST
  Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23
  ☆22Updated last year
• pandeydeep9 / EvidentialResearch2023
  Analysis of evidential models
  ☆12Updated last year
• dengbaowang / Rethinking-Calibration-of-Deep-Neural-Networks
  ☆15Updated 3 years ago
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆26Updated 4 months ago