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Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance
  Data

Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data

4 August 2022
Tomás Pevný
Viliam Lisý
B. Bosanský
P. Somol
Michal Pěchouček
ArXivPDFHTML

Papers citing "Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data"

4 / 4 papers shown
Title
How to Train your Antivirus: RL-based Hardening through the
  Problem-Space
How to Train your Antivirus: RL-based Hardening through the Problem-Space
Jacopo Cortellazzi
Ilias Tsingenopoulos
B. Bosanský
Simone Aonzo
Davy Preuveneers
Wouter Joosen
Fabio Pierazzi
Lorenzo Cavallaro
21
2
0
29 Feb 2024
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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