arnav-gudibande / conceptSHAP
PyTorch Transformer-based Language Model Implementation of ConceptSHAP
☆12Updated 4 years ago
Alternatives and similar repositories for conceptSHAP:
Users that are interested in conceptSHAP are comparing it to the libraries listed below
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆52Updated 2 years ago
- ☆46Updated 4 years ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆41Updated 2 months ago
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆11Updated 3 years ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆22Updated 2 years ago
- ☆17Updated 4 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆61Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated 2 years ago
- ☆44Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆11Updated last year
- Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space …☆17Updated 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
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆47Updated 7 months ago
- CME: Concept-based Model Extraction☆12Updated 4 years ago
- ☆21Updated 2 years ago
- Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).☆8Updated 7 months ago
- Invertible Concept-based Explanation (ICE)☆18Updated 3 years ago
- ☆73Updated 4 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- ☆18Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆105Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆23Updated last year
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 2 years ago
- ☆38Updated 9 months ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆22Updated 3 years ago