Cover Image

Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, Yuxuan, Wang, Xiyu, Tsutsui, Satoshi, Pang, Winnie, Wen, Bihan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Clinical Knowledge into Concept Bottleneck Models
by: Pang, Winnie, et al.
Published: (2024)

WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images
by: Tsutsui, Satoshi, et al.
Published: (2026)

Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
by: Ke, Xueyi, et al.
Published: (2025)

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
by: Gao, Yibo, et al.
Published: (2024)

Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
by: Wang, Xiyu, et al.
Published: (2024)

TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
by: Chen, Ruidong, et al.
Published: (2025)

Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
by: Gong, Chao, et al.
Published: (2024)

SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal
by: Wang, Xinrui, et al.
Published: (2024)

Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers
by: Huang, Chi-Pin, et al.
Published: (2023)

Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
by: Kazmierczak, Rémi, et al.
Published: (2025)

Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
by: Gong, Shizhan, et al.
Published: (2026)

On the Concept Trustworthiness in Concept Bottleneck Models
by: Huang, Qihan, 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)

Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustness
by: Fu, Zixuan, et al.
Published: (2025)

Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations
by: Kwon, Dahee, et al.
Published: (2025)

Pruning for Robust Concept Erasing in Diffusion Models
by: Yang, Tianyun, et al.
Published: (2024)

SIQA: Toward Reliable Scientific Image Quality Assessment
by: Li, Wenzhe, et al.
Published: (2026)

Visual Superordinate Abstraction for Robust Concept Learning
by: Zheng, Qi, et al.
Published: (2022)

Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
by: Li, Zhihao, et al.
Published: (2025)

Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks
by: Wang, Chong, et al.
Published: (2024)

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation
by: Huang, Shiqi, et al.
Published: (2024)

Concept-wise Attention for Fine-grained Concept Bottleneck Models
by: Zhong, Minghong, et al.
Published: (2026)

Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
by: Tan, Andong, et al.
Published: (2024)

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
by: Croce, Francesco, et al.
Published: (2023)

ShowFlow: From Robust Single Concept to Condition-Free Multi-Concept Generation
by: Hoang, Trong-Vu, et al.
Published: (2025)

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification
by: Liu, Chengliang, et al.
Published: (2023)

Improving Concept Alignment in Vision-Language Concept Bottleneck Models
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2024)

CusConcept: Customized Visual Concept Decomposition with Diffusion Models
by: Xu, Zhi, et al.
Published: (2024)

CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
by: Biswas, Shristi Das, et al.
Published: (2025)

Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
by: Mikriukov, Georgii, et al.
Published: (2023)

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation
by: Salmè, Marco, et al.
Published: (2026)

Robust Concept Erasure Using Task Vectors
by: Pham, Minh, et al.
Published: (2024)

Sonata: Self-Supervised Learning of Reliable Point Representations
by: Wu, Xiaoyang, et al.
Published: (2025)

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models
by: Liang, Xiao, et al.
Published: (2025)

AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs
by: Chowdhury, Sanjoy, et al.
Published: (2025)

Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification
by: Knab, Patrick, et al.
Published: (2025)

Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
by: Xie, Yan, et al.
Published: (2025)

Towards Reliable Advertising Image Generation Using Human Feedback
by: Du, Zhenbang, et al.
Published: (2024)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
by: Wu, Yongliang, et al.
Published: (2024)

Towards Faithful Multimodal Concept Bottleneck Models
by: Moreau, Pierre, et al.
Published: (2026)