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  • Dreaming with ARC ?

    Banburski, Andrzej; Ghandi, Anshula; Alford, Simon; Dandekar, Sylee; Chin, Peter; e.a. (Center for Brains, Minds and Machines (CBMM), 2020-11-23)
    Current machine learning algorithms are highly specialized to whatever it is they are meant to do –– e.g. playing chess, picking up objects, or object recognition. How can we extend this to a system that could solve a ...
  • Implicit dynamic regularization in deep networks ?

    Poggio, Tomaso; Liao, Qianli (Center for Brains, Minds and Machines (CBMM), 2020-08-17)
    Square loss has been observed to perform well in classification tasks, at least as well as crossentropy. However, a theoretical justification is lacking. Here we develop a theoretical analysis for the square loss that also ...
  • 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. ...

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