Integrating Clinical Knowledge into Concept Bottleneck Models
Fuente:
arXiv
Saved in:
| Main Authors: | Pang, Winnie, Ke, Xueyi, Tsutsui, Satoshi, Wen, Bihan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
by: Cai, Yuxuan, et al.
Published: (2025)
by: Cai, Yuxuan, et al.
Published: (2025)
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
by: Ke, Xueyi, et al.
Published: (2025)
by: Ke, Xueyi, et al.
Published: (2025)
WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images
by: Tsutsui, Satoshi, et al.
Published: (2026)
by: Tsutsui, Satoshi, et al.
Published: (2026)
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
by: Wang, Xiyu, et al.
Published: (2024)
by: Wang, Xiyu, et al.
Published: (2024)
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
by: Xu, Ziwang, et al.
Published: (2025)
by: Xu, Ziwang, et al.
Published: (2025)
Graph Integrated Multimodal Concept Bottleneck Model
by: Lin, Jiakai, et al.
Published: (2025)
by: Lin, Jiakai, et al.
Published: (2025)
On the Concept Trustworthiness in Concept Bottleneck Models
by: Huang, Qihan, et al.
Published: (2024)
by: Huang, Qihan, et al.
Published: (2024)
Partially Shared Concept Bottleneck Models
by: Zhao, Delong, et al.
Published: (2025)
by: Zhao, Delong, et al.
Published: (2025)
Locality-aware Concept Bottleneck Model
by: Jeon, Sujin, et al.
Published: (2025)
by: Jeon, Sujin, et al.
Published: (2025)
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2024)
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2024)
Concept-wise Attention for Fine-grained Concept Bottleneck Models
by: Zhong, Minghong, et al.
Published: (2026)
by: Zhong, Minghong, et al.
Published: (2026)
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
by: Kazmierczak, Rémi, et al.
Published: (2025)
by: Kazmierczak, Rémi, et al.
Published: (2025)
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
by: Tan, Andong, et al.
Published: (2024)
by: Tan, Andong, et al.
Published: (2024)
CLIP-QDA: An Explainable Concept Bottleneck Model
by: Kazmierczak, Rémi, et al.
Published: (2023)
by: Kazmierczak, Rémi, et al.
Published: (2023)
Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification
by: Knab, Patrick, et al.
Published: (2025)
by: Knab, Patrick, et al.
Published: (2025)
Interpretable Aneurysm Classification via 3D Concept Bottleneck Models: Integrating Morphological and Hemodynamic Clinical Features
by: Khaled, Toqa, et al.
Published: (2026)
by: Khaled, Toqa, et al.
Published: (2026)
Concept Bottleneck Models Without Predefined Concepts
by: Schrodi, Simon, et al.
Published: (2024)
by: Schrodi, Simon, et al.
Published: (2024)
Hyperbolic Concept Bottleneck Models
by: Uyterlinde, Daniel, et al.
Published: (2026)
by: Uyterlinde, Daniel, et al.
Published: (2026)
Flexible Concept Bottleneck Model
by: Du, Xingbo, et al.
Published: (2025)
by: Du, Xingbo, et al.
Published: (2025)
DCBM: Data-Efficient Visual Concept Bottleneck Models
by: Prasse, Katharina, et al.
Published: (2024)
by: Prasse, Katharina, et al.
Published: (2024)
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
by: Tapli, Merve, et al.
Published: (2026)
by: Tapli, Merve, et al.
Published: (2026)
Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations
by: Debole, Nicola, et al.
Published: (2026)
by: Debole, Nicola, et al.
Published: (2026)
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
by: Yu, Lu, et al.
Published: (2025)
by: Yu, Lu, et al.
Published: (2025)
CLIP-Free, Label Free, Unsupervised Concept Bottleneck Models
by: Sammani, Fawaz, et al.
Published: (2025)
by: Sammani, Fawaz, et al.
Published: (2025)
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
by: Xie, Yan, et al.
Published: (2025)
by: Xie, Yan, et al.
Published: (2025)
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)
by: Lai, Songning, et al.
Published: (2024)
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
by: Chowdhury, Townim F., et al.
Published: (2024)
by: Chowdhury, Townim F., et al.
Published: (2024)
Towards Faithful Multimodal Concept Bottleneck Models
by: Moreau, Pierre, et al.
Published: (2026)
by: Moreau, Pierre, et al.
Published: (2026)
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
by: Gong, Shizhan, et al.
Published: (2026)
by: Gong, Shizhan, et al.
Published: (2026)
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer
by: He, Hangzhou, et al.
Published: (2025)
by: He, Hangzhou, et al.
Published: (2025)
Editable Concept Bottleneck Models
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)
by: Lai, Songning, et al.
Published: (2024)
Chat-CBM: Towards Interactive Concept Bottleneck Models with Frozen Large Language Models
by: He, Hangzhou, et al.
Published: (2025)
by: He, Hangzhou, et al.
Published: (2025)
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
by: Lee, Jongseo, et al.
Published: (2025)
by: Lee, Jongseo, et al.
Published: (2025)
SegPoint: Segment Any Point Cloud via Large Language Model
by: He, Shuting, et al.
Published: (2024)
by: He, Shuting, et al.
Published: (2024)
Radiologist-Guided Causal Concept Bottleneck Models for Chest X-Ray Interpretation
by: Rafferty, Amy, et al.
Published: (2026)
by: Rafferty, Amy, et al.
Published: (2026)
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
by: Bunnell, Arianna, et al.
Published: (2024)
by: Bunnell, Arianna, et al.
Published: (2024)
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation
by: Huang, Shiqi, et al.
Published: (2024)
by: Huang, Shiqi, et al.
Published: (2024)
RSGround-R1: Rethinking Remote Sensing Visual Grounding through Spatial Reasoning
by: Huang, Shiqi, et al.
Published: (2026)
by: Huang, Shiqi, et al.
Published: (2026)
Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability
by: Zhang, Haifei, et al.
Published: (2025)
by: Zhang, Haifei, et al.
Published: (2025)
Similar Items
-
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
by: Cai, Yuxuan, et al.
Published: (2025) -
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
by: Ke, Xueyi, et al.
Published: (2025) -
WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images
by: Tsutsui, Satoshi, et al.
Published: (2026) -
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
by: Wang, Xiyu, et al.
Published: (2024) -
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
by: Xu, Ziwang, et al.
Published: (2025)