Label-Free Concept Bottleneck Models

12 April 2023

Papers citing "Label-Free Concept Bottleneck Models"

38 / 38 papers shown

Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 131 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 45 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 155 0 0 24 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
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model Yi Nian Shenzhe Zhu Yuehan Qin Li Li Z. Wang Chaowei Xiao Yue Zhao 28 0 0 03 Apr 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning Ta Duc Huy Sen Kim Tran Phan Nguyen Nguyen Hoang Tran Tran Bao Sam A. Hengel Zhibin Liao Johan W. Verjans Minh Nguyen Nhat To Vu Minh Hieu Phan 41 0 0 10 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
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 46 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 71 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
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang X. Li 74 9 0 03 Jan 2025
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 28 1 0 07 Oct 2024
Image-guided topic modeling for interpretable privacy classification Alina Elena Baia Andrea Cavallaro 37 0 0 27 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 93 0 0 14 Sep 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 39 1 0 26 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
Crafting Large Language Models for Enhanced Interpretability Chung-En Sun Tuomas P. Oikarinen Tsui-Wei Weng 35 6 0 05 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 61 1 0 01 Jul 2024
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis Yibo Gao Zheyao Gao Xin Gao Yuanye Liu Bomin Wang Xiahai Zhuang 28 1 0 27 Jun 2024
Semi-supervised Concept Bottleneck Models Lijie Hu Tianhao Huang Huanyi Xie Chenyang Ren Zhengyu Hu Lu Yu Lu Yu Ping Ma Di Wang 51 4 0 27 Jun 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models Tung-Yu Wu Yu-Xiang Lin Tsui-Wei Weng 50 1 0 24 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 48 3 0 23 May 2024
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography Shantanu Ghosh Clare B. Poynton Shyam Visweswaran Kayhan Batmanghelich VLM 37 8 0 20 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi Jae Myung Kim Karsten Roth Zeynep Akata 48 1 0 02 May 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 27 4 0 21 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
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Andrei Semenov Vladimir Ivanov Aleksandr Beznosikov Alexander Gasnikov 29 6 0 04 Apr 2024
Training-Free Semantic Segmentation via LLM-Supervision Wenfang Sun Yingjun Du Gaowen Liu Ramana Rao Kompella Cees G. M. Snoek VLM 44 2 0 31 Mar 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 44 111 0 28 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 25 17 0 24 Jan 2024
CEIR: Concept-based Explainable Image Representation Learning Yan Cui Shuhong Liu Liuzhuozheng Li Zhiyuan Yuan SSL VLM 23 3 0 17 Dec 2023
Automatic Concept Embedding Model (ACEM): No train-time concepts, No issue! Rishabh Jain LRM 27 0 0 07 Sep 2023
Hierarchical Explanations for Video Action Recognition Sadaf Gulshad Teng Long N. V. Noord FAtt 18 6 0 01 Jan 2023
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 79 52 0 19 Sep 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 143 185 0 31 May 2022