145 citations · 600 across the 26 of their papers we have counts for
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cs.LG2020
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci, Yani A. Ioannou, Cem Keskin +1
Sparse Neural Networks (NNs) can match the generalization of dense NNs using a fraction of the compute/storage for inference, and also have the potential to enable efficient traini…
cs.LG2020★ 3 cited
A Practical Sparse Approximation for Real Time Recurrent Learning
Jacob Menick, Erich Elsen, Utku Evci +3
Current methods for training recurrent neural networks are based on backpropagation through time, which requires storing a complete history of network states, and prohibits updatin…