conftrace_

concept bottleneck

29 papers

Explore in graph

Also known as

CB

Co-occurring keywords

concept bottleneck model (43) interpretable machine learning (140) vision-language model (2348) model interpretability (519) image classification (1944) interpretable model (158) clip model (218) zero-shot classification (230) concept alignment (20) interpretable deep learning (12)

Papers

Partially Shared Concept Bottleneck Models AAAI 2026
Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis AAAI 2026
Interpretable Generative Models through Post-hoc Concept Bottlenecks CVPR 2025
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency WACV 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models CVPR 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning CVPR 2025
Semi-supervised Concept Bottleneck Models ICCV 2025
Connecting Concept Layers and Rationales to Enhance Language Model Interpretability EMNLP 2025
Explanation Bottleneck Models AAAI 2025
Towards Safer and Understandable Driver Intention Prediction ICCV 2025
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer AAAI 2025
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models CVPR 2025
A theoretical design of concept sets: improving the predictability of concept bottleneck models NIPS 2024
Relational Concept Bottleneck Models NIPS 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NIPS 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NIPS 2024
Visual Objectification in Films: Towards a New AI Task for Video Interpretation CVPR 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NIPS 2024
Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving WACV 2024
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck NAACL 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment AAAI 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NIPS 2024
Auxiliary Losses for Learning Generalizable Concept-based Models NIPS 2023
Cross-Modal Conceptualization in Bottleneck Models EMNLP 2023
Text-To-Concept (and Back) via Cross-Model Alignment ICML 2023