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1912.06612
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From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
13 December 2019
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
Romain Guillaume
Sasha Rubin
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
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Papers citing
"From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)"
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Steven Schockaert
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Felix Hill
Kyunghyun Cho
Anna Korhonen
Yoshua Bengio
NAI
68
194
0
02 Apr 2015
Explaining robust additive utility models by sequences of preference swaps
Khaled Belahcène
C. Labreuche
N. Maudet
V. Mousseau
Wassila Ouerdane
46
18
0
16 Feb 2015
Word Representations via Gaussian Embedding
Luke Vilnis
Andrew McCallum
105
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20 Dec 2014
Explaining and Harnessing Adversarial Examples
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Jonathon Shlens
Christian Szegedy
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Deep Visual-Semantic Alignments for Generating Image Descriptions
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Li Fei-Fei
127
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07 Dec 2014
Machine Learner for Automated Reasoning 0.4 and 0.5
C. Kaliszyk
Josef Urban
J. Vyskočil
LRM
59
23
0
11 Feb 2014
Learning-assisted Theorem Proving with Millions of Lemmas
C. Kaliszyk
Josef Urban
73
47
0
11 Feb 2014
ParamILS: An Automatic Algorithm Configuration Framework
Frank Hutter
Thomas Stuetzle
Kevin Leyton-Brown
T. Stützle
86
1,068
0
15 Jan 2014
Analogical Dissimilarity: Definition, Algorithms and Two Experiments in Machine Learning
L. Miclet
Sabri Bayoudh
Arnaud Delhay
58
143
0
15 Jan 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
149
1,442
0
21 Dec 2013
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
270
14,927
1
21 Dec 2013
Positive and Negative Explanations of Uncertain Reasoning in the Framework of Possibility Theory
H. Farreny
H. Prade
57
6
0
27 Mar 2013
Learning by Transduction
A. Gammerman
V. Vovk
V. Vapnik
186
514
0
30 Jan 2013
Learning-Assisted Automated Reasoning with Flyspeck
C. Kaliszyk
Josef Urban
LRM
83
162
0
29 Nov 2012
Algorithm Runtime Prediction: Methods & Evaluation
Frank Hutter
Lin Xu
Holger H. Hoos
Kevin Leyton-Brown
76
419
0
05 Nov 2012
SATzilla: Portfolio-based Algorithm Selection for SAT
Lin Xu
Frank Hutter
Holger H. Hoos
Kevin Leyton-Brown
98
975
0
31 Oct 2011
Ignorability in Statistical and Probabilistic Inference
Manfred Jaeger
63
22
0
09 Sep 2011
CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements
Craig Boutilier
Ronen I. Brafman
Carmel Domshlak
H. H. Hoos
David Poole
154
925
0
30 Jun 2011
A Knowledge Compilation Map
Adnan Darwiche
Pierre Marquis
84
951
0
09 Jun 2011
Restart Strategy Selection using Machine Learning Techniques
Shai Haim
T. Walsh
98
46
0
29 Jul 2009
A tutorial on conformal prediction
Glenn Shafer
V. Vovk
452
1,144
0
21 Jun 2007
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