anirbansarkar-cs / Ante-hoc_Explainability_Concepts
Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).
☆8Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for Ante-hoc_Explainability_Concepts
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆21Updated last year
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆19Updated 2 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated last year
- Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]☆13Updated last year
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆59Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆71Updated 5 months ago
- Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)☆9Updated last year
- Implementation of Concept-level Debugging of Part-Prototype Networks☆11Updated 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
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆16Updated last year
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆11Updated 3 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆16Updated 3 years ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆34Updated last year
- [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation☆22Updated last year
- ☆18Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated last year
- ☆32Updated 3 years ago
- ☆15Updated 4 months ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated 9 months ago
- DISSECT: Disentangled Simultaneous Explanations via Concept Traversals☆11Updated 9 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆38Updated last year
- Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)☆12Updated 2 years ago
- Source code for "MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation", MIDL 2023, https:/…☆10Updated last year
- [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts☆18Updated last year
- Analysis of evidential models☆11Updated last year
- Official repository for 'Risk of Bias in Chest Radiography Deep Learning Foundation Models'☆10Updated last year
- Demographic Bias of Vision-Language Foundation Models in Medical Imaging☆12Updated 8 months ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆58Updated 2 years ago
- Bottom-up feature restoration☆15Updated 2 years ago
- SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)☆29Updated last month