1.5k citations · 3.1k across the 62 of their papers we have counts for
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cs.LG2021★ 2 cited
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Maxwell Mbabilla Aladago, Lorenzo Torresani
In contrast to traditional weight optimization in a continuous space, we demonstrate the existence of effective random networks whose weights are never updated. By selecting a weig…
cs.LG2020★ 3 cited
Stein Variational Inference for Discrete Distributions
Jun Han, Fan Ding, Xianglong Liu +3
Gradient-based approximate inference methods, such as Stein variational gradient descent (SVGD), provide simple and general-purpose inference engines for differentiable continuous…
cs.LG2017★ 25 cited
Connectivity Learning in Multi-Branch Networks
Karim Ahmed, Lorenzo Torresani
While much of the work in the design of convolutional networks over the last five years has revolved around the empirical investigation of the importance of depth, filter sizes, an…