paulnovello / HSIC-Attribution-MethodLinks
☆13Updated 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
Sorting:
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆109Updated 3 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆67Updated 2 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆110Updated last year
- ☆141Updated 5 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- Official PyTorch implementation of improved B-cos models☆52Updated 2 weeks ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 3 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆137Updated 4 years ago
- NumPy library for calibration metrics☆73Updated last week
- ☆46Updated 2 years ago
- Unsupervised visualization of image datasets using contrastive learning☆116Updated 4 months ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999☆110Updated 3 years ago
- ☆57Updated 3 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 7 months ago
- Detect model's attention☆168Updated 5 years ago
- 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
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated last year
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 3 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆48Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR…☆34Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- Information Bottlenecks for Attribution☆82Updated 2 years ago
- ☆46Updated 4 years ago