Corpus ID: 235435901

Gradient Forward-Propagation for Large-Scale Temporal Video Modelling

  title={Gradient Forward-Propagation for Large-Scale Temporal Video Modelling},
  author={Mateusz Malinowski and Dimitrios Vytiniotis and G. Swirszcz and Viorica Patraucean and J. Carreira},
How can neural networks be trained on large-volume temporal data efficiently? To compute the gradients required to update parameters, backpropagation blocks computations until the forward and backward passes are completed. For temporal signals, this introduces high latency and hinders real-time learning. It also creates a coupling between consecutive layers, which limits model parallelism and increases memory consumption. In this paper, we build upon Sideways, which avoids blocking by… Expand


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