3 papers
cs.LG2020
Short sighted deep learning
Ellen de Melllo Koch, Anita de Mello Koch, Nicholas Kastanos +1
A theory explaining how deep learning works is yet to be developed. Previous work suggests that deep learning performs a coarse graining, similar in spirit to the renormalization g…
cs.CV2019
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
Wei Wei, Ling Cheng, Xianling Mao +2
Recently, automatic image caption generation has been an important focus of the work on multimodal translation task. Existing approaches can be roughly categorized into two classes…
cs.LG2019
Is Deep Learning a Renormalization Group Flow?
Ellen de Mello Koch, Robert de Mello Koch, Ling Cheng
Although there has been a rapid development of practical applications, theoretical explanations of deep learning are in their infancy. Deep learning performs a sophisticated coarse…