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

• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 4 years ago
• pxiangwu / TopoFilter
  NeurIPS 2020, "A Topological Filter for Learning with Label Noise".
  ☆30Updated 6 months ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆42Updated 3 weeks ago
• amiratag / neuronshapley
  Code for "Neuron Shapley: Discovering the Responsible Neurons"
  ☆27Updated last year
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 4 months 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
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated 2 years ago
• M-Nauta / ProtoTree
  ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
  ☆106Updated 3 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• TencentAILabHealthcare / UMIX
  ☆18Updated 2 years ago
• ZerojumpLine / ModelEvaluationUnderClassImbalance
  [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
  ☆12Updated last year
• gmum / ProtoPool
  Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022
  ☆28Updated 2 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆51Updated 2 years ago
• megvii-research / FSSD_OoD_Detection
  [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
  ☆79Updated 4 years ago
• ahujak / IB-IRM
  ☆31Updated 3 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆36Updated last year
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• dmitrykazhdan / CME
  CME: Concept-based Model Extraction
  ☆12Updated 4 years ago
• mdca-loss / MDCA-Calibration
  [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…
  ☆33Updated 2 years ago
• gmum / ProtoPShare
  GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…
  ☆13Updated 4 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆53Updated 3 years ago
• rgeirhos / shortcut-perspective
  Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
  ☆101Updated 3 years ago
• AmanDaVinci / SENN
  Self-Explaining Neural Networks
  ☆43Updated 5 years ago
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• ShikunLi / Estimating_T_For_Noisy_Mutli-Labels
  NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
  ☆18Updated 2 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago