330 citations · 765 across the 27 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.CV2018
Exploring the Limits of Weakly Supervised Pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan +5
State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. ImageNet classification is the de facto pretraining task for these models. Yet,…
stat.ML2018★ 1 cited
Distributed Newton Methods for Deep Neural Networks
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen +5
Deep learning involves a difficult non-convex optimization problem with a large number of weights between any two adjacent layers of a deep structure. To handle large data sets or…