Now showing items 73-75 of 159

    • Theory of Deep Learning IIb: Optimization Properties of SGD 

      Zhang, Chiyuan; Liao, Qianli; Rakhlin, Alexander; Miranda, Brando; Golowich, Noah; e.a. (Center for Brains, Minds and Machines (CBMM), 2017-12-27)
      In Theory IIb we characterize with a mix of theory and experiments the optimization of deep convolutional networks by Stochastic Gradient Descent. The main new result in this paper is theoretical and experimental evidence ...
    • Scene Graph Parsing as Dependency Parsing 

      Wang, Yu-Siang; Liu, Chenxi; Zeng, Xiaohui; Yuille, Alan L. (Center for Brains, Minds and Machines (CBMM), 2018-05-10)
      In this paper, we study the problem of parsing structured knowledge graphs from textual descrip- tions. In particular, we consider the scene graph representation that considers objects together with their attributes and ...
    • Recurrent Multimodal Interaction for Referring Image Segmentation 

      Liu, Chenxi; Lin, Zhe; Shen, Xiaohui; Yang, Jimei; Lu, Xin; e.a. (Center for Brains, Minds and Machines (CBMM), 2018-05-10)
      In this paper we are interested in the problem of image segmentation given natural language descriptions, i.e. referring expressions. Existing works tackle this problem by first modeling images and sentences independently ...