concept bottleneck model

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions ICCV 2025 Towards Achieving Concept Completeness for Textual Concept Bottleneck Models EMNLP 2025 WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification EMNLP 2025 Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval IJCAI 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024 Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NeurIPS 2024 Coarse-to-Fine Concept Bottleneck Models NeurIPS 2024 Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort ECCV 2024 Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts ECCV 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models ICLR 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Interpretable Concept-Based Memory Reasoning NeurIPS 2024 Learning to Intervene on Concept Bottlenecks ICML 2024 On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024 Relational Concept Bottleneck Models NeurIPS 2024 Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention AAAI 2024 Stochastic Concept Bottleneck Models NeurIPS 2024 Visual Objectification in Films: Towards a New AI Task for Video Interpretation CVPR 2024 VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance NeurIPS 2024 A Closer Look at the Intervention Procedure of Concept Bottleneck Models ICML 2023 Auxiliary Losses for Learning Generalizable Concept-based Models NeurIPS 2023 Concept Correlation and Its Effects on Concept-Based Models WACV 2023 Cross-Modal Conceptualization in Bottleneck Models EMNLP 2023 Interactive Concept Bottleneck Models AAAI 2023 Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023