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Papers
Interpretable and Steerable Concept Bottleneck Sparse Autoencoders
CVPR 2026
Partially Shared Concept Bottleneck Models
AAAI 2026
Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis
AAAI 2026
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
ICLR 2025
Concept Bottleneck Language Models For Protein Design
ICLR 2025
Concept Bottleneck Large Language Models
ICLR 2025
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
WACV 2025
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
ICLR 2025
Connecting Concept Layers and Rationales to Enhance Language Model Interpretability
EMNLP 2025
Counterfactual Concept Bottleneck Models
ICLR 2025
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
CVPR 2025
Explanation Bottleneck Models
AAAI 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks
CVPR 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
CVPR 2025
Semi-supervised Concept Bottleneck Models
ICCV 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
CVPR 2025
Towards Safer and Understandable Driver Intention Prediction
ICCV 2025
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer
AAAI 2025
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
NeurIPS 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
NeurIPS 2024
A theoretical design of concept sets: improving the predictability of concept bottleneck models
NeurIPS 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NeurIPS 2024
Concept Bottleneck Generative Models
ICLR 2024
Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving
WACV 2024
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
ICLR 2024