Learning Bottleneck Concepts in Image Classification

20 April 2023

Papers citing "Learning Bottleneck Concepts in Image Classification"

29 / 29 papers shown

Title
Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu Haoyu Han Zhe Tao Hantao Yao Changsheng Xu CLL 60 0 0 30 Mar 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning Zhijie Zhu Lei Fan M. Pagnucco Yang Song 41 0 0 13 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 67 0 0 27 Feb 2025
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Jihye Choi Jayaram Raghuram Yixuan Li Somesh Jha 110 4 0 18 Dec 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 25 3 0 03 Oct 2024
Visual Data Diagnosis and Debiasing with Concept Graphs Rwiddhi Chakraborty Yinong Wang Jialu Gao Runkai Zheng Cheng Zhang Fernando de la Torre 37 2 0 26 Sep 2024
Revolutionizing Urban Safety Perception Assessments: Integrating Multimodal Large Language Models with Street View Images Jiaxin Zhanga Yunqin Lia Tomohiro Fukudab Bowen Wang 32 1 0 29 Jul 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks Sarah Jabbour Gregory Kondas Ella Kazerooni Michael Sjoding David Fouhey Jenna Wiens FAtt DiffM 47 1 0 19 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based Classifier Bowen Wang Liangzhi Li Jiahao Zhang Yuta Nakashima Hajime Nagahara OCL 44 0 0 08 Jul 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules Lev V. Utkin A. Konstantinov Stanislav R. Kirpichenko 36 0 0 28 Jun 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models Hengyi Wang Shiwei Tan Hao Wang BDL 42 6 0 18 Jun 2024
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 34 4 0 14 Jun 2024
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery Kam Woh Ng Xiatian Zhu Yi-Zhe Song Tao Xiang 37 2 0 12 Jun 2024
RWKV-CLIP: A Robust Vision-Language Representation Learner Tiancheng Gu Kaicheng Yang Xiang An Ziyong Feng Dongnan Liu Weidong Cai Jiankang Deng VLM CLIP 40 13 0 11 Jun 2024
ECATS: Explainable-by-design concept-based anomaly detection for time series Irene Ferfoglia Gaia Saveri L. Nenzi Luca Bortolussi AI4TS 40 1 0 17 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models Nithish Muthuchamy Selvaraj Xiaobao Guo Bingquan Shen A. Kong Alex C. Kot VLM 46 0 0 03 May 2024
A Self-explaining Neural Architecture for Generalizable Concept Learning Sanchit Sinha Guangzhi Xiong Aidong Zhang 27 1 0 01 May 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed MedIm DiffM 53 4 0 16 Apr 2024
Incremental Residual Concept Bottleneck Models Chenming Shang Shiji Zhou Hengyuan Zhang Xinzhe Ni Yujiu Yang Yuwang Wang 42 14 0 13 Apr 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes Bor-Shiun Wang Chien-Yi Wang Wei-Chen Chiu 30 3 0 13 Apr 2024
Understanding Multimodal Deep Neural Networks: A Concept Selection View Chenming Shang Hengyuan Zhang Hao Wen Yujiu Yang 43 5 0 13 Apr 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 38 3 0 22 Feb 2024
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning Liang Peng Songyue Cai Zongqian Wu Huifang Shang Xiaofeng Zhu Xiaoxiao Li 39 9 0 22 Dec 2023
SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation Bo Pan Zhenke Liu Yifei Zhang Liang Zhao 38 2 0 11 Oct 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 16 10 0 08 Jun 2023
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace Jinyung Hong Keun Hee Park Theodore P. Pavlic 29 5 0 25 May 2023
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 91 26 0 04 Dec 2021
Learning Interpretable Concept Groups in CNNs Saurabh Varshneya Antoine Ledent Robert A. Vandermeulen Yunwen Lei Matthias Enders Damian Borth Marius Kloft 18 6 0 21 Sep 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019