Probabilistic Concept Bottleneck Models

2 June 2023

Papers citing "Probabilistic Concept Bottleneck Models"

22 / 22 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 185 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 221 0 0 24 Apr 2025
Leakage and Interpretability in Concept-Based Models Enrico Parisini Tapabrata Chakraborti Chris Harbron Ben D. MacArthur Christopher R. S. Banerji 40 0 0 18 Apr 2025
On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos N. Bountos Dimitrios Michail Xiao Xiang Zhu Gustau Camps-Valls Ioannis Papoutsis 74 1 0 10 Mar 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
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model Yuxuan Cai Xinbing Wang Satoshi Tsutsui Winnie Pang Bihan Wen 65 0 0 03 Feb 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xuelong Li 79 9 0 03 Jan 2025
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 33 4 0 22 Sep 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 38 2 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 57 5 0 27 Jun 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi Jae Myung Kim Karsten Roth Zeynep Akata 50 1 0 02 May 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 35 17 0 24 Jan 2024
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 25 0 18 Nov 2023
Coarse-to-Fine Concept Bottleneck Models Konstantinos P. Panousis Dino Ienco Diego Marcos 33 5 0 03 Oct 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
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Zou 145 186 0 31 May 2022
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 415 203 0 13 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 298 39,238 0 01 Sep 2014