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The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains

The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains

30 May 2016
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
ArXivPDFHTML

Papers citing "The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains"

12 / 112 papers shown
Title
The (Un)reliability of saliency methods
The (Un)reliability of saliency methods
Pieter-Jan Kindermans
Sara Hooker
Julius Adebayo
Maximilian Alber
Kristof T. Schütt
Sven Dähne
D. Erhan
Been Kim
FAtt
XAI
22
678
0
02 Nov 2017
Be Your Own Prada: Fashion Synthesis with Structural Coherence
Be Your Own Prada: Fashion Synthesis with Structural Coherence
Shizhan Zhu
Sanja Fidler
R. Urtasun
Dahua Lin
Chen Change Loy
21
275
0
19 Oct 2017
Do Convolutional Neural Networks Learn Class Hierarchy?
Do Convolutional Neural Networks Learn Class Hierarchy?
B. Alsallakh
Amin Jourabloo
Mao Ye
Xiaoming Liu
Liu Ren
34
210
0
17 Oct 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
21
1,410
0
09 Oct 2017
Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative
Zhiming Zhou
Weinan Zhang
Jun Wang
22
19
0
05 Aug 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
26
946
0
28 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
The "something something" video database for learning and evaluating
  visual common sense
The "something something" video database for learning and evaluating visual common sense
Raghav Goyal
Samira Ebrahimi Kahou
Vincent Michalski
Joanna Materzynska
S. Westphal
...
Moritz Mueller-Freitag
F. Hoppe
Christian Thurau
Ingo Bax
Roland Memisevic
VLM
13
1,494
0
13 Jun 2017
Learning how to explain neural networks: PatternNet and
  PatternAttribution
Learning how to explain neural networks: PatternNet and PatternAttribution
Pieter-Jan Kindermans
Kristof T. Schütt
Maximilian Alber
K. Müller
D. Erhan
Been Kim
Sven Dähne
XAI
FAtt
16
337
0
16 May 2017
BAM! The Behance Artistic Media Dataset for Recognition Beyond
  Photography
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
Michael J. Wilber
Chen Fang
Hailin Jin
Aaron Hertzmann
John Collomosse
Serge J. Belongie
26
136
0
27 Apr 2017
Adversarial Message Passing For Graphical Models
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
19
29
0
15 Dec 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
32
1,001
0
07 Nov 2016
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