Deli Zhao

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On Noise Injection in Generative Adversarial Networks

Noise injection has been proved to be one of the key technique advances ...
06/10/2020 ∙ by Ruili Feng, et al. ∙ 0 ∙ share

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In-Domain GAN Inversion for Real Image Editing

Recent work has shown that a variety of controllable semantics emerges i...
03/31/2020 ∙ by Jiapeng Zhu, et al. ∙ 0 ∙ share

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Perceptual Image Super-Resolution with Progressive Adversarial Network

Single Image Super-Resolution (SISR) aims to improve resolution of small...
03/08/2020 ∙ by Lone Wong, et al. ∙ 0 ∙ share

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Latent Variables on Spheres for Sampling and Spherical Inference

Variational inference is a fundamental problem in Variational Auto-Encod...
12/21/2019 ∙ by Deli Zhao, et al. ∙ 4 ∙ share

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Curriculum Learning for Deep Generative Models with Clustering

Training generative models like generative adversarial networks (GANs) a...
06/27/2019 ∙ by Deli Zhao, et al. ∙ 0 ∙ share

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LIA: Latently Invertible Autoencoder with Adversarial Learning

Deep generative models play an increasingly important role in machine le...
06/19/2019 ∙ by Jiapeng Zhu, et al. ∙ 17 ∙ share

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Few Shot Learning with Simplex

Deep learning has made remarkable achievement in many fields. However, l...
07/27/2018 ∙ by Bowen Zhang, et al. ∙ 0 ∙ share

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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...
11/17/2014 ∙ by Miao Fan, et al. ∙ 0 ∙ share

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Homophilic Clustering by Locally Asymmetric Geometry

Clustering is indispensable for data analysis in many scientific discipl...
07/05/2014 ∙ by Deli Zhao, et al. ∙ 0 ∙ share

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Graph Degree Linkage: Agglomerative Clustering on a Directed Graph

This paper proposes a simple but effective graph-based agglomerative alg...
08/25/2012 ∙ by Wei Zhang, et al. ∙ 0 ∙ share

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Deli Zhao

Featured Co-authors

Wei Zhang

Xiaogang Wang

Bo Zhang

Zhiyuan Liu

Xiaoou Tang

Bolei Zhou

Bowen Zhang

Thomas Fang Zheng

Edward Y. Chang

Qiang Zhou

Yujun Shen

On Noise Injection in Generative Adversarial Networks

In-Domain GAN Inversion for Real Image Editing

Perceptual Image Super-Resolution with Progressive Adversarial Network

Latent Variables on Spheres for Sampling and Spherical Inference

Curriculum Learning for Deep Generative Models with Clustering

LIA: Latently Invertible Autoencoder with Adversarial Learning

Few Shot Learning with Simplex

Errata: Distant Supervision for Relation Extraction with Matrix Completion

Homophilic Clustering by Locally Asymmetric Geometry

Graph Degree Linkage: Agglomerative Clustering on a Directed Graph