Improving the Interpretability of Deep Neural Networks with Knowledge Distillation

28 December 2018

Xuan Liu

Papers citing "Improving the Interpretability of Deep Neural Networks with Knowledge Distillation"

28 / 28 papers shown

Title
Modifying Final Splits of Classification Tree for Fine-tuning Subpopulation Target in Policy Making Lei Bill Wang Zhenbang Jiao Fangyi Wang 97 0 0 24 Feb 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 240 4 0 31 Dec 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation Yingying Hua Shiming Ge Daichi Zhang FAtt 124 0 0 20 Sep 2024
Towards Explaining Autonomy with Verbalised Decision Tree States K. Gavriilidis A. Munafò Helen F. Hastie Conlan Cesar M. Defilippo M. Benjamin 38 2 0 28 Sep 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 105 13 0 19 Aug 2022
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation Yao Zhang Yun Xiong Yiheng Sun Caihua Shan Tian Lu Hui Song Yangyong Zhu 56 2 0 12 Aug 2022
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs Benjamin Fuhrer Yuval Shpigelman Chen Tessler Shie Mannor Gal Chechik E. Zahavi Gal Dalal 71 4 0 05 Jul 2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making Mingxuan Liu Yilin Ning Han Yuan M. Ong Nan Liu FAtt 43 1 0 08 Jun 2022
Proto2Proto: Can you recognize the car, the way I do? Monish Keswani Sriranjani Ramakrishnan Nishant Reddy V. Balasubramanian 89 27 0 25 Apr 2022
Evaluating Feature Attribution Methods in the Image Domain Arne Gevaert Axel-Jan Rousseau Thijs Becker D. Valkenborg T. D. Bie Yvan Saeys FAtt 69 23 0 22 Feb 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 96 15 0 23 Jan 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 81 41 0 17 Dec 2021
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge Aryan Karn Ashutosh Acharya 35 0 0 29 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 110 133 0 21 Jul 2021
Does Knowledge Distillation Really Work? Samuel Stanton Pavel Izmailov Polina Kirichenko Alexander A. Alemi A. Wilson FedML 71 224 0 10 Jun 2021
On Guaranteed Optimal Robust Explanations for NLP Models Emanuele La Malfa A. Zbrzezny Rhiannon Michelmore Nicola Paoletti Marta Z. Kwiatkowska FAtt 77 48 0 08 May 2021
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving Cillian Brewitt Bálint Gyevnár Samuel Garcin Stefano V. Albrecht 90 30 0 10 Mar 2021
Incorporating Domain Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan AI4CE 58 9 0 27 Feb 2021
One Explanation is Not Enough: Structured Attention Graphs for Image Classification Vivswan Shitole Li Fuxin Minsuk Kahng Prasad Tadepalli Alan Fern FAtt GNN 70 38 0 13 Nov 2020
Improving Neural Topic Models using Knowledge Distillation Alexander Miserlis Hoyle Pranav Goel Philip Resnik 86 49 0 05 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 66 92 0 05 Oct 2020
Fast, Structured Clinical Documentation via Contextual Autocomplete D. Gopinath Monica Agrawal Luke S. Murray Steven Horng David R Karger David Sontag 53 13 0 29 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 277 3,016 0 09 Jun 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 114 379 0 30 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 91 928 0 15 Apr 2020
xCos: An Explainable Cosine Metric for Face Verification Task Yu-sheng Lin Zhe-Yu Liu Yu-An Chen Yu-Siang Wang Ya-Liang Chang Winston H. Hsu CVBM 63 46 0 11 Mar 2020
Slices of Attention in Asynchronous Video Job Interviews Léo Hemamou G. Felhi Jean-Claude Martin Chloé Clavel 37 21 0 19 Sep 2019
Integrating Artificial Intelligence into Weapon Systems Philip G. Feldman Aaron Dant Aaron K. Massey 26 12 0 10 May 2019