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On Noise Injection in Generative Adversarial Networks
Noise injection has been proved to be one of the key technique advances ...
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In-Domain GAN Inversion for Real Image Editing
Recent work has shown that a variety of controllable semantics emerges i...
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Perceptual Image Super-Resolution with Progressive Adversarial Network
Single Image Super-Resolution (SISR) aims to improve resolution of small...
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Latent Variables on Spheres for Sampling and Spherical Inference
Variational inference is a fundamental problem in Variational Auto-Encod...
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Curriculum Learning for Deep Generative Models with Clustering
Training generative models like generative adversarial networks (GANs) a...
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LIA: Latently Invertible Autoencoder with Adversarial Learning
Deep generative models play an increasingly important role in machine le...
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Few Shot Learning with Simplex
Deep learning has made remarkable achievement in many fields. However, l...
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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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Homophilic Clustering by Locally Asymmetric Geometry
Clustering is indispensable for data analysis in many scientific discipl...
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Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
This paper proposes a simple but effective graph-based agglomerative alg...
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