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Feature Diversity in Neural Networks: Theory and Algorithms
Firas Laakom
Computing Sciences
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Book/Report
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Dive into the research topics of 'Feature Diversity in Neural Networks: Theory and Algorithms'. Together they form a unique fingerprint.
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Keyphrases
Neural Network
100%
Neural Network Algorithm
100%
Feature Diversity
100%
Neural Network Theory
100%
Regularizer
66%
Generalization Performance
66%
Diverse Features
66%
Multi-task
33%
Data Dependency
33%
Energy Model
33%
Neural Network Model
33%
Unseen
33%
Hidden Layer
33%
Bag-of-features
33%
Two-stage Process
33%
Autoencoder
33%
Pooling Layer
33%
Feature Pooling
33%
Promoting Strategy
33%
Feature Representation Learning
33%
Rigorous Bounds
33%
Multiple Measures
33%
Standard Neural Network
33%
Computer Science
Neural Network
100%
Generalization Performance
40%
Multiple Task
20%
Representation Learning
20%
Neural Network Model
20%
Multiple Measure
20%
Autoencoder
20%