Trustworthy-ML-Lab / CLIP-dissect
An automatic and efficient tool to describe functionalities of individual neurons in DNNs
☆38Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CLIP-dissect
- A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept dat…☆79Updated 7 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆45Updated 4 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆72Updated 6 months ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆83Updated 5 months ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆53Updated last year
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆21Updated last year
- This is the official implementation of the Concept Discovery Models paper.☆11Updated last year
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated 11 months ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆11Updated last year
- Create generated datasets and train robust classifiers☆35Updated last year
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆30Updated 4 years ago
- SpuCo is a Python package developed to further research to address spurious correlations.☆21Updated last month
- ☆36Updated 6 months ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆32Updated last year
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆23Updated last year
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆62Updated last year
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆25Updated last year
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆9Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- ☆39Updated 2 years ago
- ☆22Updated 5 months ago
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆16Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆28Updated 11 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆38Updated last year
- The example of correspondence between fine classes and superclass (coarse class) in ImageNet.☆12Updated 2 years ago
- What do we learn from inverting CLIP models?☆45Updated 8 months ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆34Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated last year
- ☆105Updated last year
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆52Updated this week