On the Impact of Knowledge Distillation for Model Interpretability

25 May 2023

Papers citing "On the Impact of Knowledge Distillation for Model Interpretability"

6 / 6 papers shown

Title
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 37 2 0 06 Apr 2024
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? Keshigeyan Chandrasegaran Ngoc-Trung Tran Yunqing Zhao Ngai-man Cheung 80 41 0 29 Jun 2022
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification Jasmijn Bastings Sebastian Ebert Polina Zablotskaia Anders Sandholm Katja Filippova 112 75 0 14 Nov 2021
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 114 94 0 23 Oct 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
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 296 39,194 0 01 Sep 2014