CBMM Memo Series: Recent submissions

Now showing items 94-96 of 149

    • Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning 

      Liao, Qianli; Kawaguchi, Kenji; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-10-19)
      We systematically explored a spectrum of normalization algorithms related to Batch Normalization (BN) and propose a generalized formulation that simultaneously solves two major limitations of BN: (1) online learning and ...

    • Anchoring and Agreement in Syntactic Annotations 

      Berzak, Yevgeni; Huang, Yan; Barbu, Andrei; Korhonen, Anna; Katz, Boris (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-09-21)
      Published in the Proceedings of EMNLP 2016 We present a study on two key characteristics of human syntactic annotations: anchoring and agreement. Anchoring is a well-known cognitive bias in human decision making, where ...

    • Deep vs. shallow networks : An approximation theory perspective 

      Mhaskar, Hrushikesh; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-08-12)
      The paper briefly reviews several recent results on hierarchical architectures for learning from examples, that may formally explain the conditions under which Deep Convolutional Neural Networks perform much better in ...