Publications: Recent submissions

Now showing items 118-120 of 159

    • How Important is Weight Symmetry in Backpropagation? 

      Liao, Qianli; Leibo, Joel Z.; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2015-11-29)
      Gradient backpropagation (BP) requires symmetric feedforward and feedback connections—the same weights must be used for forward and backward passes. This “weight transport problem” [1] is thought to be one of the main ...

    • Group Invariant Deep Representations for Image Instance Retrieval 

      Morère, Olivier; Veillard, Antoine; Lin, Jie; Petta, Julie; Chandrasekhar, Vijay; e.a. (Center for Brains, Minds and Machines (CBMM), 2016-01-11)
      Most image instance retrieval pipelines are based on comparison of vectors known as global image descriptors between a query image and the database images. Due to their success in large scale image classification, ...

    • I-theory on depth vs width: hierarchical function composition 

      Poggio, Tomaso; Anselmi, Fabio; Rosasco, Lorenzo (Center for Brains, Minds and Machines (CBMM), 2015-12-29)
      Deep learning networks with convolution, pooling and subsampling are a special case of hierar- chical architectures, which can be represented by trees (such as binary trees). Hierarchical as well as shallow networks can ...