Label-Free Concept Bottleneck Models

12 April 2023

Papers citing "Label-Free Concept Bottleneck Models"

50 / 124 papers shown

Title
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection Amy Rafferty Rishi Ramaesh Ajitha Rajan 19 0 0 14 May 2025
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models Yan Xie Zequn Zeng Hao Zhang Yucheng Ding Yishuo Wang Zhengjue Wang Bo Chen Hongwei Liu OT 33 0 0 12 May 2025
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports Yuyan Ge Kwan Ho Ryan Chan Pablo Messina René Vidal 43 0 0 30 Apr 2025
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 137 0 0 28 Apr 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 51 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 167 0 0 24 Apr 2025
Transformation of audio embeddings into interpretable, concept-based representations Alice Zhang Edison Thomaz Lie Lu 29 0 0 18 Apr 2025
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition Jongseo Lee Wooil Lee Gyeong-Moon Park Seong Tae Kim Jinwoo Choi 33 0 0 17 Apr 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI Mahdi Alehdaghi Rajarshi Bhattacharya Pourya Shamsolmoali Rafael M. O. Cruz Maguelonne Heritier Eric Granger 36 0 0 16 Apr 2025
Steering CLIP's vision transformer with sparse autoencoders Sonia Joseph Praneet Suresh Ethan Goldfarb Lorenz Hufe Yossi Gandelsman Robert Graham Danilo Bzdok Wojciech Samek Blake A. Richards 51 2 0 11 Apr 2025
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model Yi Nian Shenzhe Zhu Yuehan Qin Li Li Ziyi Wang Chaowei Xiao Yue Zhao 28 0 0 03 Apr 2025
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
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability Jianyang Zhang Qianli Luo Guowu Yang Wenjing Yang Weide Liu Guosheng Lin Fengmao Lv 59 0 0 26 Mar 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks Akshay Kulkarni Ge Yan Chung-En Sun Tuomas P. Oikarinen Tsui-Wei Weng 45 0 0 25 Mar 2025
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification Zequn Zeng Yudi Su Jianqiao Sun Tiansheng Wen Hao Zhang Zhengjue Wang Bo Chen Hongwei Liu Jiawei Ma VLM 60 0 0 24 Mar 2025
Towards Human-Understandable Multi-Dimensional Concept Discovery Arne Grobrugge Niklas Kühl G. Satzger Philipp Spitzer 44 0 0 24 Mar 2025
Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology Siyuan Yan Ming Hu Yiwen Jiang X. Li Hao Fei P. Tschandl Harald Kittler Zongyuan Ge VLM 70 2 0 19 Mar 2025
Escaping Plato's Cave: Robust Conceptual Reasoning through Interpretable 3D Neural Object Volumes Nhi Pham Bernt Schiele Adam Kortylewski Jonas Fischer 61 0 0 17 Mar 2025
Unlocking Open-Set Language Accessibility in Vision Models Fawaz Sammani Jonas Fischer Nikos Deligiannis VLM 55 0 0 14 Mar 2025
C^2 ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion Lijie Hu Junchi Liao Weimin Lyu Shaopeng Fu Tianhao Huang Shu Yang Guimin Hu Di Wang AAML 67 0 0 12 Mar 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning Hubert Baniecki P. Biecek AAML 80 0 0 11 Mar 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning Ta Duc Huy Sen Kim Tran Phan Nguyen Nguyen Hoang Tran Tran Bao Sam Anton Van Den Hengel Zhibin Liao Johan W. Verjans Minh Nguyen Nhat To Vu Minh Hieu Phan 53 0 0 10 Mar 2025
Causally Reliable Concept Bottleneck Models Giovanni De Felice Arianna Casanova Flores Francesco De Santis Silvia Santini Johannes Schneider Pietro Barbiero Alberto Termine 74 2 0 06 Mar 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders Vladimir Zaigrajew Hubert Baniecki P. Biecek 54 0 0 27 Feb 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
QPM: Discrete Optimization for Globally Interpretable Image Classification Thomas Norrenbrock T. Kaiser Sovan Biswas R. Manuvinakurike Bodo Rosenhahn 62 0 0 27 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 49 0 0 24 Feb 2025
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery Utkarsh Mall Cheng Perng Phoo Mia Chiquier Bharath Hariharan Kavita Bala Carl Vondrick 79 1 0 17 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 68 2 0 28 Jan 2025
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance Divyansh Srivastava Beatriz Cabrero-Daniel Christian Berger VLM 62 8 0 17 Jan 2025
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology Susu Sun Leslie Tessier Frédérique Meeuwsen Clément Grisi Dominique van Midden G. Litjens Christian F. Baumgartner 24 2 0 06 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xiaomeng Li 74 9 0 03 Jan 2025
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Jihye Choi Jayaram Raghuram Yixuan Li Somesh Jha 108 4 0 18 Dec 2024
Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Songning Lai Yu Huang Jiayu Yang Gaoxiang Huang Wenshuo Chen Yutao Yue 76 0 0 25 Nov 2024
Concept Bottleneck Language Models For protein design Aya Abdelsalam Ismail Tuomas Oikarinen Amy Wang Julius Adebayo Samuel Stanton ... J. Kleinhenz Allen Goodman H. C. Bravo Kyunghyun Cho Nathan C. Frey 34 4 0 09 Nov 2024
Classification with Conceptual Safeguards Hailey Joren Charles Marx Berk Ustun 37 2 0 07 Nov 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification Lijie Hu Songning Lai Wenshuo Chen Hongru Xiao Hongbin Lin Lu Yu Jingfeng Zhang Di Wang 35 0 0 28 Oct 2024
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks Alba Carballo-Castro Sonia Laguna Moritz Vandenhirtz Julia E. Vogt DiffM 31 1 0 24 Oct 2024
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts Laines Schmalwasser J. Gawlikowski Joachim Denzler Julia Niebling 29 2 0 23 Oct 2024
Bayesian Concept Bottleneck Models with LLM Priors Jean Feng Avni Kothari Luke Zier Chandan Singh Yan Shuo Tan 21 2 0 21 Oct 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance Qihan Huang Jie Song Mengqi Xue H. Zhang Bingde Hu Huiqiong Wang Hao Jiang Xingen Wang Xiuming Zhang VLM 29 0 0 14 Oct 2024
Tree-Based Leakage Inspection and Control in Concept Bottleneck Models Angelos Ragkousis Sonali Parbhoo 39 1 0 08 Oct 2024
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework Angela van Sprang Erman Acar Willem Zuidema AI4TS 48 1 0 08 Oct 2024
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models Songning Lai Jiayu Yang Yu Huang Lijie Hu Tianlang Xue Zhangyi Hu Jiaxu Li Haicheng Liao Yutao Yue 34 1 0 07 Oct 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
Image-guided topic modeling for interpretable privacy classification Alina Elena Baia Andrea Cavallaro 42 0 0 27 Sep 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 55 2 0 20 Sep 2024
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving Songning Lai Tianlang Xue Hongru Xiao Lijie Hu Jiemin Wu Ninghui Feng Runwei Guan Haicheng Liao Zhenning Li Yutao Yue 30 4 0 16 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 95 0 0 14 Sep 2024