Alternatives and similar repositories for HSIC-Attribution-Method

Users that are interested in HSIC-Attribution-Method are comparing it to the libraries listed below

• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆68Updated 2 years ago
• andyzoujm / pixmix
  PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
  ☆109Updated 3 years ago
• shift-happens-benchmark / icml-2022
  Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)
  ☆38Updated last year
• MadryLab / backgrounds_challenge
  ☆141Updated 5 years ago
• B-cos / B-cos-v2
  Official PyTorch implementation of improved B-cos models
  ☆54Updated last month
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆36Updated 3 years ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 7 months ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆111Updated last year
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated last year
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆54Updated last year
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆73Updated 3 weeks ago
• IgorSusmelj / simsiam-cifar10
  Code to train the SimSiam model on cifar10 using PyTorch
  ☆41Updated 4 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 4 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆145Updated 2 years ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆49Updated last year
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆83Updated 2 years ago
• NoahVl / Explaining-In-Style-Reproducibility-Study
  Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).
  ☆38Updated last year
• tkasarla / max-separation-as-inductive-bias
  Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
  ☆29Updated 2 years ago
• valentyn1boreiko / DVCEs
  ☆40Updated last year
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 4 years ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆42Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆57Updated 3 years ago
• fel-thomas / Sobol-Attribution-Method
  👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
  ☆30Updated 3 years ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆38Updated 2 years ago
• ml-jku / MAE-CT
  ☆32Updated last year
• zju-vipa / ProtoPFormer
  ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
  ☆40Updated 2 years ago
• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆42Updated 2 years ago
• inspire-group / SSD
  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
  ☆137Updated 4 years ago