Antoine Pirovano

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Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems 2015 Colin Raffel
Daniel P. W. Ellis
1
+ SmoothGrad: removing noise by adding noise 2017 Daniel Smilkov
Nikhil Thorat
Been Kim
Fernanda Viégas
Martin Wattenberg
1
+ Attention-based Deep Multiple Instance Learning 2018 Maximilian Ilse
Jakub M. Tomczak
Max Welling
1
+ Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach 2018 Pierre Courtiol
Eric W. Tramel
Marc Sanselme
Gilles Wainrib
1
+ An attention-based multi-resolution model for prostate whole slide imageclassification and localization 2019 Jiayun Li
Wenyuan Li
Arkadiusz Gertych
Beatrice S. Knudsen
William Speier
Corey Arnold
1
+ Transfusion: Understanding Transfer Learning for Medical Imaging 2019 Maithra Raghu
Chiyuan Zhang
Jon Kleinberg
Samy Bengio
1
+ Axiomatic Attribution for Deep Networks 2017 Mukund Sundararajan
Ankur Taly
Qiqi Yan
1
+ Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps 2013 Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
1
+ PDF Chat Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution 2021 Gary Goh
Sebastian Lapuschkin
Leander Weber
Wojciech Samek
Alexander Binder
1
+ PDF Chat Interpretable Explanations of Black Boxes by Meaningful Perturbation 2017 Ruth Fong
Andrea Vedaldi
1
+ PDF Chat DeepPap: Deep Convolutional Networks for Cervical Cell Classification 2017 Ling Zhang
Le Lü
Isabella Nogues
Ronald M. Summers
Shaoxiong Liu
Jianhua Yao
1