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Hypernetwork-Based Augmentation
Data augmentation is an effective technique to improve the generalizatio...
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Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
Soteria is a user right management system designed to safeguard user-dat...
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RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Multi-domain image-to-image translation has gained increasing attention ...
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Effective Medical Test Suggestions Using Deep Reinforcement Learning
Effective medical test suggestions benefit both patients and physicians ...
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G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
Performing supervised learning from the data synthesized by using Genera...
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KG-GAN: Knowledge-Guided Generative Adversarial Networks
Generative adversarial networks (GANs) learn to mimic training data that...
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MBS: Macroblock Scaling for CNN Model Reduction
We estimate the proper channel (width) scaling of Convolution Neural Net...
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Backward Reduction of CNN Models with Information Flow Analysis
This paper proposes backward reduction, an algorithm that explores the c...
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Distributed Training Large-Scale Deep Architectures
Scale of data and scale of computation infrastructures together enable t...
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Representation Learning on Large and Small Data
Deep learning owes its success to three key factors: scale of data, enha...
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Errata: Distant Supervision for Relation Extraction with Matrix Completion
The essence of distantly supervised relation extraction is that it is an...
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