Publications: Recent submissions

Now showing items 88-90 of 160

    • 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 ...

    • Exact Equivariance, Disentanglement and Invariance of Transformations 

      Liao, Qianli; Poggio, Tomaso (2017-12-31)
      Invariance, equivariance and disentanglement of transformations are important topics in the field of representation learning. Previous models like Variational Autoencoder [1] and Generative Adversarial Networks [2] attempted ...

    • Object-Oriented Deep Learning 

      Liao, Qianli; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2017-10-31)
      We investigate an unconventional direction of research that aims at converting neural networks, a class of distributed, connectionist, sub-symbolic models into a symbolic level with the ultimate goal of achieving AI ...