Distilling BlackBox to Interpretable models for Efficient Transfer
Learning

Distilling BlackBox to Interpretable models for Efficient Transfer Learning

26 May 2023

Kayhan Batmanghelich

Papers citing "Distilling BlackBox to Interpretable models for Efficient Transfer Learning"

14 / 14 papers shown

Title
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xuelong Li 99 12 0 03 Jan 2025
Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich 68 3 0 20 Feb 2023
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays K. Yu Shantanu Ghosh Zhexiong Liu C. Deible Kayhan Batmanghelich 28 22 0 25 Jun 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 69 22 0 26 May 2022
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports Saahil Jain Ashwin Agrawal A. Saporta Steven QH Truong D. Duong ... Yuhao Zhang M. Lungren A. Ng C. Langlotz Pranav Rajpurkar MedIm 90 210 0 28 Jun 2021
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 56 79 0 12 Jun 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 195 671 0 20 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 109 551 0 18 Feb 2021
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 94 820 0 09 Jul 2020
Entity, Relation, and Event Extraction with Contextualized Span Representations David Wadden Ulme Wennberg Yi Luan Hannaneh Hajishirzi 67 585 0 08 Sep 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 110 2,591 0 21 Jan 2019
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 211 1,837 0 30 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 78 2,699 0 14 Nov 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 738 36,781 0 25 Aug 2016