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1404.7828
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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"
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Title
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
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Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
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AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
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Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers
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Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
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Hazrat Ali
Son N. Tran
Talha Iqbal
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Deep learning of nanopore sensing signals using a bi-path network
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Chenyu Wen
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A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems
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Yulong Lu
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Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development
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Deep Learning for Scene Classification: A Survey
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Neural networks for Anatomical Therapeutic Chemical (ATC) classification
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GLocalX -- From Local to Global Explanations of Black Box AI Models
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Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
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Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
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Neural Pruning via Growing Regularization
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Deep Learning Approach for Matrix Completion Using Manifold Learning
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Neurosymbolic AI: The 3rd Wave
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