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Faster Projected GAN: Towards Faster Few-Shot Image Generation
In order to solve the problems of long training time, large consumption of computing resources and huge parameter amount of GAN network in image generation, this paper proposes an improved GAN network model, which is named Faster Projected GAN, based on Projected GAN.
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
The objective is a) to obtain a thorough and in-depth understanding of the methodologies for startup evaluation using DL, and b) to distil valuable and actionable learning for practitioners.
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Modeling of relation pattern is the core focus of previous Knowledge Graph Embedding works, which represents how one entity is related to another semantically by some explicit relation.
RLINK: Deep Reinforcement Learning for User Identity Linkage
User identity linkage is a task of recognizing the identities of the same user across different social networks (SN).
