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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
012320112018

Related topics

Related topics

9 relations
AIXIArtificial intelligenceCompetitions and prizes in artificial intelligenceContext mixing
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Broader (1)

Data compression

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Hutter Prize
Artificial intelligence
Data compression
Lossless compression
Kolmogorov complexity
Turing test

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Neural Language Models
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
Recurrent Highway Networks
Many sequential processing tasks require complex nonlinear transition functions from one step to the next. However, recurrent… (More)
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2017
2017
Dynamic Evaluation of Neural Sequence Models
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
On the State of the Art of Evaluation in Neural Language Models
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
Fast-Slow Recurrent Neural Networks
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
Adaptive Computation Time for Recurrent Neural Networks
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
Multiplicative LSTM for sequence modelling
We introduce multiplicative LSTM (mLSTM), a novel recurrent neural network architecture for sequence modelling that combines the… (More)
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2016
2016
Suprisal-Driven Zoneout
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 and Intelligence: Social Environments and Communication
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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