paulnovello / HSIC-Attribution-Method
β13Updated 2 years ago
Alternatives and similar repositories for HSIC-Attribution-Method:
Users that are interested in HSIC-Attribution-Method are comparing it to the libraries listed below
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β62Updated last year
- π Overcomplete is a Vision-based SAE Toolboxβ51Updated 3 weeks ago
- π Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)β29Updated 2 years ago
- β45Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ34Updated last year
- β39Updated 11 months ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ95Updated last month
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)β106Updated 2 years ago
- β46Updated 4 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"β48Updated 9 months ago
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β29Updated 2 months ago
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ62Updated last year
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"β24Updated last year
- Last-layer Laplace approximation code examplesβ83Updated 3 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)β38Updated 11 months ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detectionβ52Updated 7 months ago
- β140Updated 4 years ago
- β11Updated this week
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β56Updated this week
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptionsβ42Updated 2 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 forβ¦β25Updated 3 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? β Quantifying Uncertainties in Explaining Neural Networksβ18Updated 2 years ago
- Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).β36Updated last year
- Active and Sample-Efficient Model Evaluationβ24Updated 4 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Informationβ33Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extractionβ35Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"β160Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAPβ14Updated 4 years ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)β19Updated 4 years ago
- β107Updated last year