Alternatives and similar repositories for Explainable-Models-with-Consistent-Interpretations

Users that are interested in Explainable-Models-with-Consistent-Interpretations are comparing it to the libraries listed below

• pxiangwu / TopoFilter
  NeurIPS 2020, "A Topological Filter for Learning with Label Noise".
  ☆30Updated 8 months ago
• gmum / ProtoPool
  Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022
  ☆28Updated 3 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 5 years ago
• peterbhase / interpretable-image
  Code for "Interpretable Image Recognition with Hierarchical Prototypes"
  ☆19Updated 6 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆52Updated 2 years ago
• TencentAILabHealthcare / UMIX
  ☆18Updated 3 years ago
• amiratag / neuronshapley
  Code for "Neuron Shapley: Discovering the Responsible Neurons"
  ☆27Updated last year
• peiwang062 / SCOUT
  ☆12Updated 3 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆26Updated 7 months ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 5 years ago
• M-Nauta / ProtoTree
  ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
  ☆108Updated 3 years ago
• gmum / ProtoPShare
  GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…
  ☆14Updated 4 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 3 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated 2 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 4 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆42Updated 4 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• ZerojumpLine / ModelEvaluationUnderClassImbalance
  [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
  ☆12Updated last year
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆42Updated 3 months ago
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆26Updated 2 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• aliasgharkhani / Masktune
  ☆29Updated 2 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆54Updated 3 years ago
• chihkuanyeh / saliency_evaluation
  Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…
  ☆25Updated 3 years ago
• UMBCvision / fooling_network_interpretation
  Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
  ☆24Updated 6 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆89Updated 3 years ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆83Updated 3 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆17Updated 5 years ago