599 citations · 1.6k across the 14 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 145 cited
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho, Eric Liang, Ion Stoica +2
A key challenge in leveraging data augmentation for neural network training is choosing an effective augmentation policy from a large search space of candidate operations. Properly…
cs.DB2019★ 207 cited
Deep Unsupervised Cardinality Estimation
Zongheng Yang, Eric Liang, Amog Kamsetty +7
Cardinality estimation has long been grounded in statistical tools for density estimation. To capture the rich multivariate distributions of relational tables, we propose the use o…
cs.NI2019★ 5 cited
Neural Packet Classification
Eric Liang, Hang Zhu, Xin Jin +1
Packet classification is a fundamental problem in computer networking. This problem exposes a hard tradeoff between the computation and state complexity, which makes it particularl…