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Juergen Schmidhuber


Deep Learning: Our Miraculous Year 1990-1991

May 12, 2020
Juergen Schmidhuber

* 37 pages, 188 references, based on work of 4 Oct 2019 

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Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Dec 05, 2019
Juergen Schmidhuber

* 20 pages 

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Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization

Jun 11, 2019
Juergen Schmidhuber

* 12 pages, 1 figure, 87 references 

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Hindsight policy gradients

Feb 20, 2019
Paulo Rauber, Avinash Ummadisingu, Filipe Mutz, Juergen Schmidhuber

* Accepted to ICLR 2019 

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Investigations on End-to-End Audiovisual Fusion

Apr 30, 2018
Michael Wand, Ngoc Thang Vu, Juergen Schmidhuber

* Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 3041 - 3045 
* Published at ICASSP 2018 

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One Big Net For Everything

Feb 24, 2018
Juergen Schmidhuber

* 17 pages, 107 references 

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Improving Speaker-Independent Lipreading with Domain-Adversarial Training

Aug 04, 2017
Michael Wand, Juergen Schmidhuber

* Accepted at Interspeech 2017 

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On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models

Nov 30, 2015
Juergen Schmidhuber

* 36 pages, 1 figure. arXiv admin note: substantial text overlap with arXiv:1404.7828 

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Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

Jun 24, 2015
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Juergen Schmidhuber

* Marijn F. Stollenga and Wonmin Byeon are the shared first authors, both authors contributed equally to this work 

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Deep Learning in Neural Networks: An Overview

Oct 08, 2014
Juergen Schmidhuber

* Neural Networks, Vol 61, pp 85-117, Jan 2015 
* 88 pages, 888 references 

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Deep Networks with Internal Selective Attention through Feedback Connections

Jul 28, 2014
Marijn Stollenga, Jonathan Masci, Faustino Gomez, Juergen Schmidhuber

* 13 pages, 3 figures 

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Testing Hypotheses by Regularized Maximum Mean Discrepancy

May 02, 2013
Somayeh Danafar, Paola M. V. Rancoita, Tobias Glasmachers, Kevin Whittingstall, Juergen Schmidhuber

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A Frequency-Domain Encoding for Neuroevolution

Dec 28, 2012
Jan Koutník, Juergen Schmidhuber, Faustino Gomez

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Self-Delimiting Neural Networks

Sep 29, 2012
Juergen Schmidhuber

* 15 pages 

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Efficient Natural Evolution Strategies

Sep 26, 2012
Yi Sun, Daan Wierstra, Tom Schaul, Juergen Schmidhuber

* Puslished in GECCO'2009 

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On the Size of the Online Kernel Sparsification Dictionary

Jun 18, 2012
Yi Sun, Faustino Gomez, Juergen Schmidhuber

* ICML2012 

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Multi-column Deep Neural Networks for Image Classification

Feb 13, 2012
Dan Cireşan, Ueli Meier, Juergen Schmidhuber

* CVPR 2012, p. 3642-3649 
* 20 pages, 14 figures, 8 tables 

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Dec 31, 2011
Vincent Graziano, Faustino Gomez, Mark Ring, Juergen Schmidhuber

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Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams

Dec 09, 2011
Varun Raj Kompella, Matthew Luciw, Juergen Schmidhuber

* Neural Computation, 2012, Vol. 24, No. 11, Pages 2994-3024 

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A Linear Time Natural Evolution Strategy for Non-Separable Functions

Jun 13, 2011
Yi Sun, Faustino Gomez, Tom Schaul, Juergen Schmidhuber

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Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments

Mar 29, 2011
Yi Sun, Faustino Gomez, Juergen Schmidhuber

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Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Mar 01, 2010
Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber

* Neural Computation, Volume 22, Number 12, December 2010 
* 14 pages, 2 figures, 4 listings 

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Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes

Apr 15, 2009
Juergen Schmidhuber

* Short version: J. Schmidhuber. Simple Algorithmic Theory of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes. Journal of SICE 48(1), 21-32, 2009 
* 35 pages, 3 figures, based on KES 2008 keynote and ALT 2007 / DS 2007 joint invited lecture 

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Algorithm Selection as a Bandit Problem with Unbounded Losses

Jul 09, 2008
Matteo Gagliolo, Juergen Schmidhuber

* 15 pages, 2 figures 

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Phoneme recognition in TIMIT with BLSTM-CTC

Apr 21, 2008
Santiago Fernández, Alex Graves, Juergen Schmidhuber

* 8 pages 

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Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity

Sep 05, 2007
Juergen Schmidhuber

* 15 pages, 3 highly compressible low-complexity drawings. Joint Invited Lecture for Algorithmic Learning Theory (ALT 2007) and Discovery Science (DS 2007), Sendai, Japan, 2007 

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2006: Celebrating 75 years of AI - History and Outlook: the Next 25 Years

Aug 31, 2007
Juergen Schmidhuber

* 14 pages; preprint of invited contribution to the Proceedings of the ``50th Anniversary Summit of Artificial Intelligence'' at Monte Verita, Ascona, Switzerland, 9-14 July 2006 

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Multi-Dimensional Recurrent Neural Networks

May 14, 2007
Alex Graves, Santiago Fernandez, Juergen Schmidhuber

* 10 pages, 10 figures 

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Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements

Dec 17, 2006
Juergen Schmidhuber

* Variants published in "Adaptive Agents and Multi-Agent Systems II", LNCS 3394, p. 1-23, Springer, 2005: ISBN 978-3-540-25260-3; as well as in Proc. ICANN 2005, LNCS 3697, p. 223-233, Springer, 2005 (plenary talk); as well as in "Artificial General Intelligence", Series: Cognitive Technologies, Springer, 2006: ISBN-13: 978-3-540-23733-4 
* 29 pages, 1 figure, minor improvements, updated references 

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