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Generative Adversarial Learning

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Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent

Submitted by grigby1 on Wed, 05/01/2019 - 10:28am

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DzGAN: Improved Conditional Generative Adversarial Nets Using Divided Z-Vector

Submitted by grigby1 on Wed, 05/01/2019 - 10:28am

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MAFL: Multi-Scale Adversarial Feature Learning for Saliency Detection

Submitted by grigby1 on Wed, 05/01/2019 - 10:28am

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Meta Learning for Imbalanced Big Data Analysis by Using Generative Adversarial Networks

Submitted by grigby1 on Wed, 05/01/2019 - 10:27am

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Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning

Submitted by grigby1 on Wed, 05/01/2019 - 10:27am

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Learning Deep Network Representations with Adversarially Regularized Autoencoders

Submitted by grigby1 on Wed, 05/01/2019 - 10:27am

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ThoughtViz: Visualizing Human Thoughts Using Generative Adversarial Network

Submitted by grigby1 on Wed, 05/01/2019 - 10:27am

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Multi-View Image Generation from a Single-View

Submitted by grigby1 on Wed, 05/01/2019 - 10:27am

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Sketch-Based Image Retrieval Using Generative Adversarial Networks

Submitted by grigby1 on Mon, 11/19/2018 - 11:23am

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Practical Black-Box Attacks Against Machine Learning

Submitted by grigby1 on Mon, 11/19/2018 - 11:23am

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