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1905.10985
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AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
27 May 2019
Jeff Clune
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Papers citing
"AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence"
43 / 93 papers shown
Title
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Wojciech M. Czarnecki
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Joel Z Leibo
David Silver
Koray Kavukcuoglu
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John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
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1,028
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Neural Architecture Search with Reinforcement Learning
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Quoc V. Le
478
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Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
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PINN
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25 Aug 2016
Layer Normalization
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21 Jul 2016
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
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2,405
0
21 Jun 2016
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
124
2,008
0
14 Jun 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
93
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0
30 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
382
14,268
0
23 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
84
330
0
11 Feb 2016
Research Priorities for Robust and Beneficial Artificial Intelligence
Stuart J. Russell
Dan Dewey
Max Tegmark
76
657
0
10 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
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10 Dec 2015
Convergent Learning: Do different neural networks learn the same representations?
Yixuan Li
J. Yosinski
Jeff Clune
Hod Lipson
John E. Hopcroft
SSL
91
371
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24 Nov 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
307
5,536
0
23 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
273
14,027
0
19 Nov 2015
Deep Learning for Tactile Understanding From Visual and Haptic Data
Yang Gao
Lisa Anne Hendricks
Katherine J. Kuchenbecker
Trevor Darrell
82
245
0
19 Nov 2015
Understanding Neural Networks Through Deep Visualization
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Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
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AI4CE
126
1,875
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22 Jun 2015
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
316
7,396
0
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Visualizing and Understanding Neural Models in NLP
Jiwei Li
Xinlei Chen
Eduard H. Hovy
Dan Jurafsky
MILM
FAtt
81
707
0
02 Jun 2015
The evolutionary origins of hierarchy
Henok Mengistu
Joost Huizinga
Jean-Baptiste Mouret
Jeff Clune
59
123
0
23 May 2015
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
183
1,773
0
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Illuminating search spaces by mapping elites
Jean-Baptiste Mouret
Jeff Clune
89
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20 Apr 2015
Trust Region Policy Optimization
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Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
279
6,801
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19 Feb 2015
Gradient-based Hyperparameter Optimization through Reversible Learning
D. Maclaurin
David Duvenaud
Ryan P. Adams
DD
232
946
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11 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
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0
11 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
350
10,083
0
10 Feb 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
603
12,745
0
11 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
174
3,275
0
05 Dec 2014
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
131
1,967
0
26 Nov 2014
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
236
8,353
0
06 Nov 2014
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
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KELM
149
1,709
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15 Oct 2014
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
448
20,606
0
10 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
259
6,791
0
03 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,338
0
01 Sep 2014
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
248
16,378
0
30 Apr 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
286
14,968
1
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,904
0
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First Experiments with PowerPlay
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Bas R. Steunebrink
Jürgen Schmidhuber
101
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0
31 Oct 2012
The evolutionary origins of modularity
Jeff Clune
Jean-Baptiste Mouret
Hod Lipson
96
582
0
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Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
376
7,965
0
13 Jun 2012
Building high-level features using large scale unsupervised learning
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
SSL
OffRL
CVBM
122
2,272
0
29 Dec 2011
POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem
Jürgen Schmidhuber
97
150
0
22 Dec 2011
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