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Deep Reinforcement Learning-based Portfolio Management
(2019-05-16)
Machine Learning is at the forefront of every field today. The subfields of Machine Learning called Reinforcement Learning and Deep Learning, when combined have given rise to advanced algorithms which have been successful ...
ULTRA-CONTEXT: MAXIMIZING THE CONTEXT FOR BETTER IMAGE CAPTION GENERATION
(2019-05-07)
Several combinations of visual and semantic attention have been geared towards developing better image captioning architectures.
In this work we introduce a novel combination of word-level semantic context with image ...
COMPREHENSIVE STUDY OF GENERATIVE METHODS ON DRUG DISCOVERY
(2019-12-09)
Observing the recent success of the deep learning (DL) technology in multiple life-changing application areas, e.g., autonomous driving, image/video search and discovery, natural language processing, etc., many new ...
Deep Representation Learning for Clustering and Domain Adaptation
(2019-12-05)
Representation learning is a fundamental task in the area of machine learning which can significantly influence the performance of the algorithms used in various applications. The main goal of this task is to capture the ...