A Framework for Learning Ante-hoc Explainable Models via Concepts

25 August 2021

Papers citing "A Framework for Learning Ante-hoc Explainable Models via Concepts"

33 / 33 papers shown

Title
Display Content, Display Methods and Evaluation Methods of the HCI in Explainable Recommender Systems: A Survey Weiqing Li Yue Xu Yuefeng Li Yinghui Huang 23 0 0 14 May 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
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
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis Hongmei Wang Junlin Hou Hao Chen 31 0 0 20 Oct 2024
Sparse Prototype Network for Explainable Pedestrian Behavior Prediction Yan Feng Alexander Carballo K. Takeda ViT 34 0 0 16 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
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 30 4 0 22 Sep 2024
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction Yan Feng Alexander Carballo Keisuke Fujii Robin Karlsson Ming Ding K. Takeda 31 0 0 14 Sep 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 63 1 0 01 Jul 2024
Self-supervised Interpretable Concept-based Models for Text Classification Francesco De Santis Philippe Bich Gabriele Ciravegna Pietro Barbiero Danilo Giordano Tania Cerquitelli 34 0 0 20 Jun 2024
A Self-explaining Neural Architecture for Generalizable Concept Learning Sanchit Sinha Guangzhi Xiong Aidong Zhang 27 1 0 01 May 2024
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis Junlin Hou Jilan Xu Hao Chen MedIm 36 7 0 09 Apr 2024
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models M. Kowal Richard P. Wildes Konstantinos G. Derpanis GNN 30 8 0 02 Apr 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 29 5 0 21 Mar 2024
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks Tanmay Garg Deepika Vemuri Vineeth N. Balasubramanian GAN 13 2 0 09 Jan 2024
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction Yilan Zhang Yingxue Xu Jianqi Chen Fengying Xie Hao Chen 40 25 0 03 Jan 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 49 4 0 28 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 21 41 0 20 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 23 4 0 28 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 24 0 18 Nov 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 19 3 0 16 Aug 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 26 13 0 07 Jul 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 6 64 0 02 Jun 2023
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs Kaiwen Xu Kazuto Fukuchi Youhei Akimoto Jun Sakuma 21 2 0 27 May 2023
Towards credible visual model interpretation with path attribution Naveed Akhtar Muhammad A. A. K. Jalwana FAtt 22 4 0 23 May 2023
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis Cristiano Patrício João C. Neves Luís F. Teixeira MedIm FAtt 24 17 0 10 Apr 2023
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts Anirban Sarkar Matthew Groth I. Mason Tomotake Sasaki Xavier Boix 19 1 0 17 Mar 2023
Streamlining models with explanations in the learning loop Francesco Lomuscio P. Bajardi Alan Perotti E. Amparore FAtt 23 0 0 15 Feb 2023
Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay Kwan Ho Ryan Chan B. Haeffele D. Geman René Vidal DRL 21 10 0 06 Feb 2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics Naveed Akhtar XAI VLM 30 7 0 31 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification Y. Song S. K. Shyn Kwang-su Kim VLM 21 5 0 16 Jan 2023
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 52 0 10 May 2022
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