Hutter Prize

Known as: Hutter Prize for Lossless Compression of Human Knowledge 
The Hutter Prize is a cash prize funded by Marcus Hutter which rewards data compression improvements on a specific 100 MB English text file… (More)
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Topic mentions per year

Topic mentions per year

2011-2018
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Papers overview

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2018
2018
Ongoing innovations in recurrent neural network architectures have provided a steady influx of apparently state-of-the-art… (More)
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Highly Cited
2017
Highly Cited
2017
Many sequential processing tasks require complex nonlinear transition functions from one step to the next. However, recurrent… (More)
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2017
2017
We present methodology for using dynamic evaluation to improve neural sequence models. Models are adapted to recent history via a… (More)
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2017
2017
Ongoing innovations in recurrent neural network architectures have provided a steady influx of apparently state-of-theart results… (More)
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2017
2017
Processing sequential data of variable length is a major challenge in a wide range of applications, such as speech recognition… (More)
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Highly Cited
2016
Highly Cited
2016
This paper introduces Adaptive Computation Time (ACT), an algorithm that allows recurrent neural networks to learn how many… (More)
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2016
2016
We introduce multiplicative LSTM (mLSTM), a novel recurrent neural network architecture for sequence modelling that combines the… (More)
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2016
2016
We propose a novel method of regularization for recurrent neural networks called suprisal-driven zoneout. In this method, states… (More)
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2011
2011
Compression has been advocated as one of the principles which pervades inductive inference and prediction and, from there, it has… (More)
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