JonathanCrabbe / CARsView external linksLinks
This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human concepts. For more details, please read our NeurIPS 2022 paper: 'Concept Activation Regions: a Generalized Framework for Concept-Based Explanations.
☆15Oct 7, 2022Updated 3 years ago
Alternatives and similar repositories for CARs
Users that are interested in CARs are comparing it to the libraries listed below
Sorting:
- DISSECT: Disentangled Simultaneous Explanations via Concept Traversals☆12Feb 5, 2024Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12May 9, 2023Updated 2 years ago
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆14Apr 4, 2022Updated 3 years ago
- Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.☆16Jul 1, 2022Updated 3 years ago
- ☆25Nov 28, 2024Updated last year
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Sep 28, 2022Updated 3 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Feb 27, 2023Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆55Aug 30, 2024Updated last year
- ☆96Oct 27, 2022Updated 3 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆29Dec 30, 2021Updated 4 years ago
- ☆27Jan 25, 2024Updated 2 years ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Sep 17, 2025Updated 4 months ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 2 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆29Mar 12, 2025Updated 11 months ago
- Procedural Image Programs for Representation Learning - NeurIPS 2022☆39Feb 4, 2026Updated last week
- ☆36Sep 23, 2022Updated 3 years ago
- MemRec☆36Jan 16, 2026Updated 3 weeks ago
- [ACM MM 2022] Towards Counterfactual Image Manipulation via CLIP☆38Jul 11, 2022Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Jan 15, 2021Updated 5 years ago
- Holistic evaluation of multimodal foundation models☆49Aug 11, 2024Updated last year
- Original dataset release for CIFAR-10H☆83Nov 1, 2020Updated 5 years ago
- ☆11Mar 31, 2022Updated 3 years ago
- Official implementation of "Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models"☆14Mar 19, 2025Updated 10 months ago
- [ICCV2025] Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning☆23Nov 13, 2025Updated 3 months ago
- ☆11Feb 28, 2024Updated last year
- Detect wildfires using ML on images from cameras on vantage points☆11Oct 16, 2024Updated last year
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆44Nov 17, 2025Updated 2 months ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆41Aug 19, 2022Updated 3 years ago
- Improving neural network representations using human similarity judgments☆13Nov 22, 2024Updated last year
- A holistic framework for advancing LLMs as data science agents☆30Feb 3, 2026Updated last week
- [MICCAI‘25 Early Accept] MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment☆15Nov 15, 2025Updated 2 months ago
- Advances in recent large vision language models (LVLMs)☆15Sep 23, 2024Updated last year
- Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".☆10Feb 6, 2024Updated 2 years ago
- ☆11Oct 11, 2023Updated 2 years ago
- Official implementation of the Fréchet Radiomic Distance☆18Feb 3, 2026Updated last week
- ☆10Jul 4, 2024Updated last year
- ☆13Mar 15, 2024Updated last year