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Found 5 papers, 1 papers with code
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
For those systems to be accepted and trusted, the users should be able to understand the reasoning process of the system, i. e. the system should be transparent.
Object-sensitive Deep Reinforcement Learning
In this paper, we propose a novel method that can incorporate object recognition processing to deep reinforcement learning models.
Photorealistic Style Transfer for Videos
Photorealistic style transfer is a technique which transfers colour from one reference domain to another domain by using deep learning and optimization techniques.
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
Due to the lack of structured knowledge applied in learning distributed representation of cate- gories, existing work cannot incorporate category hierarchies into entity information.
Joint Embeddings of Hierarchical Categories and Entities
Due to the lack of structured knowledge applied in learning distributed representation of categories, existing work cannot incorporate category hierarchies into entity information.~We propose a framework that embeds entities and categories into a semantic space by integrating structured knowledge and taxonomy hierarchy from large knowledge bases.
