Center for Brains, Minds & Machines: Recent submissions

Now showing items 85-87 of 159

    • 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 ...

    • 3D Object-Oriented Learning: An End-to-end Transformation-Disentangled 3D Representation 

      Liao, Qianli; Poggio, Tomaso (2017-12-31)
      We provide more detailed explanation of the ideas behind a recent paper on “Object-Oriented Deep Learning” [1] and extend it to handle 3D inputs/outputs. Similar to [1], every layer of the system takes in a list of ...