Auxiliary Losses for Learning Generalizable Concept-based Models

18 November 2023

Papers citing "Auxiliary Losses for Learning Generalizable Concept-based Models"

24 / 24 papers shown

Title
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models Yan Xie Zequn Zeng Hao Zhang Yucheng Ding Y. Wang Zhengjue Wang Bo Chen Hongwei Liu OT 21 0 0 12 May 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 37 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 63 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 28 0 0 18 Apr 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu Haoyu Han Zhe Tao Hantao Yao Changsheng Xu CLL 55 0 0 30 Mar 2025
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model Yuxuan Cai X. Wang Satoshi Tsutsui Winnie Pang Bihan Wen 55 0 0 03 Feb 2025
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 61 0 0 10 Jan 2025
A Concept-Centric Approach to Multi-Modality Learning Yuchong Geng Ao Tang 70 0 0 18 Dec 2024
Variational Autoencoders for Efficient Simulation-Based Inference Mayank Nautiyal Andrey Shternshis A. Hellander Prashant Singh 60 0 0 21 Nov 2024
Angular Distance Distribution Loss for Audio Classification Antonio Almudévar Romain Serizel Alfonso Ortega 18 0 0 31 Oct 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
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 13 4 0 22 Sep 2024
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval Vaibhav Balloli Sara Beery Elizabeth Bondi-Kelly 29 0 0 12 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 49 1 0 01 Jul 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules Lev V. Utkin A. Konstantinov Stanislav R. Kirpichenko 23 0 0 28 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 37 4 0 27 Jun 2024
Editable Concept Bottleneck Models Lijie Hu Chenyang Ren Zhengyu Hu Cheng-Long Wang Di Wang Hui Xiong Jingfeng Zhang Di Wang 27 3 0 24 May 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 24 1 0 22 Feb 2024
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 8 3 0 28 Nov 2023
Human Uncertainty in Concept-Based AI Systems Katherine M. Collins Matthew Barker M. Zarlenga Naveen Raman Umang Bhatt M. Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham 58 39 0 22 Mar 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 71 52 0 19 Sep 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 133 182 0 31 May 2022
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 228 2,231 0 24 Jun 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015