arnav-gudibande / conceptSHAPLinks
PyTorch Transformer-based Language Model Implementation of ConceptSHAP
☆14Updated 5 years ago
Alternatives and similar repositories for conceptSHAP
Users that are interested in conceptSHAP are comparing it to the libraries listed below
Sorting:
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- ☆18Updated 5 years ago
- Invertible Concept-based Explanation (ICE)☆18Updated 3 weeks ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆71Updated 2 years ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆26Updated 3 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆71Updated last month
- ☆46Updated 2 years ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆51Updated 11 months ago
- ☆46Updated 4 years ago
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆14Updated 4 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆106Updated 3 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆121Updated last year
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆16Updated 2 years ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Updated last year
- ☆36Updated 4 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- ☆72Updated 5 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆87Updated last year
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- ☆43Updated last year
- Concept Bottleneck Models, ICML 2020☆227Updated 2 years ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆12Updated last year