Concept-Monitor: Understanding DNN training through individual neurons

26 April 2023

Papers citing "Concept-Monitor: Understanding DNN training through individual neurons"

9 / 9 papers shown

Title
Label-Free Concept Bottleneck Models Tuomas P. Oikarinen Subhro Das Lam M. Nguyen Tsui-Wei Weng 54 167 0 12 Apr 2023
Natural Language Descriptions of Deep Visual Features Evan Hernandez Sarah Schwettmann David Bau Teona Bagashvili Antonio Torralba Jacob Andreas MILM 269 117 0 26 Jan 2022
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 37 446 0 10 Sep 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 53 317 0 05 Feb 2020
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 79 5,920 0 04 Mar 2017
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 123 9,266 0 14 Dec 2015
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 100 1,279 0 22 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 150 14,831 1 21 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 221 15,825 0 12 Nov 2013