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1404.7828
Cited By
Deep Learning in Neural Networks: An Overview
30 April 2014
Jürgen Schmidhuber
HAI
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Papers citing
"Deep Learning in Neural Networks: An Overview"
50 / 786 papers shown
Title
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Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
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Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
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Deep Unfolding of a Proximal Interior Point Method for Image Restoration
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Prototype-based Neural Network Layers: Incorporating Vector Quantization
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Lars Holdijk
Maike Rees
T. Villmann
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Protection Against Reconstruction and Its Applications in Private Federated Learning
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Ryan M. Rogers
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Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models
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África Periánez
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Noisy Computations during Inference: Harmful or Helpful?
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Semi-supervised Deep Representation Learning for Multi-View Problems
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Stop Illegal Comments: A Multi-Task Deep Learning Approach
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The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations Trained on Scarce Data
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Autoencoder Based Sample Selection for Self-Taught Learning
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Deep Learning in the Wild
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Neural Networks Trained to Solve Differential Equations Learn General Representations
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Deep learning in business analytics and operations research: Models, applications and managerial implications
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