asmadotgh / dissect
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
☆11Updated last year
Alternatives and similar repositories for dissect:
Users that are interested in dissect are comparing it to the libraries listed below
- CME: Concept-based Model Extraction☆12Updated 4 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)☆9Updated 2 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Updated 4 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- ☆32Updated 3 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 2 years ago
- Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).☆8Updated 8 months ago
- ☆44Updated 2 years ago
- ☆38Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- Information Bottlenecks for Attribution☆79Updated 2 years ago
- ☆34Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Self-Explaining Neural Networks☆13Updated last year
- LISA for ICML 2022☆47Updated last year
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆11Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆62Updated last year
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Updated last year
- ☆95Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 10 months ago
- ☆15Updated 4 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 3 years ago