code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
☆54Mar 25, 2022Updated 4 years ago
Alternatives and similar repositories for concept_exp
Users that are interested in concept_exp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Towards Automatic Concept-based Explanations☆165May 1, 2024Updated 2 years ago
- Quantitative Testing with Concept Activation Vectors in PyTorch☆44Aug 24, 2026Updated 2 weeks ago
- Concept Bottleneck Models, ICML 2020☆258Feb 24, 2023Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36May 29, 2022Updated 4 years ago
- Invertible Concept-based Explanation (ICE)☆19Oct 29, 2025Updated 10 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for the TCAV ML interpretability project☆655Jul 22, 2026Updated last month
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Sep 25, 2019Updated 6 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆94May 20, 2024Updated 2 years ago
- CME: Concept-based Model Extraction☆13Nov 24, 2020Updated 5 years ago
- ☆124Mar 15, 2022Updated 4 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆57Aug 17, 2022Updated 4 years ago
- ☆11Oct 22, 2020Updated 5 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆32Mar 24, 2023Updated 3 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Feb 8, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆21Oct 1, 2022Updated 3 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆45Feb 10, 2022Updated 4 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆17Jun 1, 2021Updated 5 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆82Apr 5, 2026Updated 5 months ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆18Sep 9, 2022Updated 3 years ago
- Code for Sufficient Input Subsets Paper☆14Mar 8, 2019Updated 7 years ago
- ☆52Aug 29, 2020Updated 6 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 7 years ago
- This repository is a pytorch implementation of interpretable compositional convolutional neural networks.☆22May 24, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆66Sep 13, 2021Updated 4 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆56Sep 26, 2022Updated 3 years ago
- Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".☆14Jul 26, 2023Updated 3 years ago
- Finding semantically meaningful and accurate prompts.☆48Oct 30, 2023Updated 2 years ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆17Oct 7, 2022Updated 3 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆10Jan 22, 2024Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆38Dec 27, 2022Updated 3 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 5 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆221May 6, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆455Aug 25, 2018Updated 8 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆194Jan 16, 2022Updated 4 years ago
- ☆37Jun 10, 2021Updated 5 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Mar 24, 2023Updated 3 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆20May 14, 2021Updated 5 years ago
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22May 11, 2023Updated 3 years ago
- Code and Hummingbird dataset for EMNLP 2021 paper "Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica"☆14Apr 13, 2022Updated 4 years ago