Recent Submissions

  • On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations 

    Madan, Spandan; Henry, Timothy; Dozier, Jamell; Ho, Helen; Bhandari, Nishchal; e.a. (Center for Brains, Minds and Machines (CBMM), 2020-07-17)
    Recognizing an object’s category and pose lies at the heart of visual understanding. Recent works suggest that deep neural networks (DNNs) often fail to generalize to category-pose combinations not seen during training. ...
  • Loss landscape: SGD can have a better view than GD 

    Poggio, Tomaso; Cooper, Yaim (Center for Brains, Minds and Machines (CBMM), 2020-07-01)
    Consider a loss function L = 􏰀ni=1 l2i with li = f(xi) − yi, where f(x) is a deep feedforward network with R layers, no bias terms and scalar output. Assume the network is overparametrized that is, d >> n, where d is the ...
  • Biologically Inspired Mechanisms for Adversarial Robustness 

    Vuyyuru Reddy, Manish; Banburski, Andrzej; Plant, Nishka; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2020-06-23)
    A convolutional neural network strongly robust to adversarial perturbations at reasonable computational and performance cost has not yet been demonstrated. The primate visual ventral stream seems to be robust to small ...

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