Alternatives and similar repositories for entropybaseduq

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

• maohaos2 / PosthocUQ
  ☆17Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆40Updated last year
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆52Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆145Updated 2 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆43Updated 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
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆26Updated 2 years ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆36Updated 2 years ago
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆14Updated last year
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆14Updated 2 months ago
• Trustworthy-ML-Lab / Label-free-CBM
  [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…
  ☆128Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆46Updated last year
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆60Updated 9 months ago
• ExplainableML / ProbVLM
  ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
  ☆45Updated 2 years ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆124Updated last year
• pandeydeep9 / EvidentialResearch2023
  Analysis of evidential models
  ☆14Updated 2 years ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆27Updated 2 years ago
• IemProg / CoFiMA
  🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"
  ☆31Updated 8 months ago
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆26Updated 2 years ago
• jmiemirza / ActMAD
  ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)
  ☆21Updated 2 years ago
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆55Updated last year
• zhangmarvin / memo
  ☆71Updated 2 years ago
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆12Updated 2 years ago
• YueYANG1996 / LaBo
  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
  ☆105Updated last year
• maxdreyer / L-CRP
  Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
  ☆15Updated last year
• bmucsanyi / bud
  ☆17Updated last year
• PotatoTian / TPGM
  This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning
  ☆24Updated 2 years ago
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆89Updated last year