Publications: Recent submissions

Now showing items 85-87 of 160

    • Theory of Intelligence with Forgetting: Mathematical Theorems Explaining Human Universal Forgetting using “Forgetting Neural Networks” 

      Cano-Córdoba, Felipe; Sarma, Sanjay; Subirana, Brian (Center for Brains, Minds and Machines (CBMM), 2017-12-05)
      In [42] we suggested that any memory stored in the human/animal brain is forgotten following the Ebingghaus curve – in this follow-on paper, we define a novel algebraic structure, a Forgetting Neural Network, as a simple ...

    • Spatial IQ Test for AI 

      Hilton, Erwin; Liao, Qianli; Poggio, Tomaso (2017-12-31)
      We introduce SITD (Spatial IQ Test Dataset), a dataset used to evaluate the capabilities of computational models for pattern recognition and visual reasoning. SITD is a generator of images in the style of the Raven Progressive ...

    • Theory of Deep Learning III: explaining the non-overfitting puzzle 

      Poggio, Tomaso; Kawaguchi, Kenji; Liao, Qianli; Miranda, Brando; Rosasco, Lorenzo; e.a. (arXiv, 2017-12-30)
      THIS MEMO IS REPLACED BY CBMM MEMO 90 A main puzzle of deep networks revolves around the absence of overfitting despite overparametrization and despite the large capacity demonstrated by zero training error on randomly ...