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DeepZip: Lossless Data Compression Using Recurrent Neural Networks
Mohit Goyal
, Kedar Tatwawadi
, Shubham Chandak
, Idoia Ochoa
Electrical and Computer Engineering
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Dive into the research topics of 'DeepZip: Lossless Data Compression Using Recurrent Neural Networks'. Together they form a unique fingerprint.
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Keyphrases
Neural Network
100%
Compress
100%
Synthetic Data
100%
Lossless Compression
100%
Sequential Data
100%
Recurrent Neural Network
100%
Neural Network Prediction
100%
Prediction Method
50%
Excellent Performance
50%
Efficient Compression
50%
Evolutionary Genomics
50%
Near-optimal
50%
Genomic Data
50%
Text Data
50%
Text Dataset
50%
Prediction Task
50%
Optimal Compression
50%
Gzip
50%
Genomic Datasets
50%
Complex Mapping
50%
Compression Mechanism
50%
Universal Approximator
50%
Synthetic Text
50%
Arithmetic Coder
50%
Finite-context Models
50%
Computer Science
Data Compression
100%
Neural Network
100%
Recurrent Neural Network
100%
Synthetic Datasets
33%
Arithmetic Coder
33%
Mathematics
Neural Network
100%
Lossless
100%
Data Compression
100%
Coder
20%
Engineering
Neural Network Predictor
100%
Recurrent Neural Network
100%
Context Model
50%
Approximators
50%
Chemical Engineering
Recurrent Neural Network
100%
Neural Network
100%