Center for Brains, Minds & Machines: Recent submissions

Now showing items 88-90 of 159

    • 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 ...

    • Human-like Learning: A Research Proposal 

      Liao, Qianli; Poggio, Tomaso (2017-09-28)
      We propose Human-like Learning, a new machine learning paradigm aiming at training generalist AI systems in a human-like manner with a focus on human-unique skills.