Now showing items 1-3 of 149

    • A Homogeneous Transformer Architecture 

      Gan, Yulu; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2023-09-18)
      While the Transformer architecture has made a substantial impact in the field of machine learning, it is unclear what purpose each component serves in the overall architecture. Heterogeneous nonlinear circuits such as ...
    • Skip Connections Increase the Capacity of Associative Memories in Variable Binding Mechanisms 

      Xie, Yi; Li, Yichen; Rangamani, Akshay (Center for Brains, Minds and Machines (CBMM), 2023-06-27)
      The flexibility of intelligent behavior is fundamentally attributed to the ability to separate and assign structural information from content in sensory inputs. Variable binding is the atomic computation that underlies ...
    • Feature learning in deep classifiers through Intermediate Neural Collapse 

      Rangamani, Akshay; Lindegaard, Marius; Galanti, Tomer; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2023-02-27)
      In this paper, we conduct an empirical study of the feature learning process in deep classifiers. Recent research has identified a training phenomenon called Neural Collapse (NC), in which the top-layer feature embeddings ...