996 citations · 1.7k across the 31 of their papers we have counts for
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3 papers · 1 filter
cs.LG2018★ 2 cited
Composing Modeling and Inference Operations with Probabilistic Program Combinators
Eli Sennesh, Adam Ścibior, Hao Wu +1
Probabilistic programs with dynamic computation graphs can define measures over sample spaces with unbounded dimensionality, which constitute programmatic analogues to Bayesian non…
cs.CV2018★ 37 cited
Classification is a Strong Baseline for Deep Metric Learning
Andrew Zhai, Hao-Yu Wu
Deep metric learning aims to learn a function mapping image pixels to embedding feature vectors that model the similarity between images. Two major applications of metric learning…
stat.ML2018★ 105 cited
Structured Disentangled Representations
Babak Esmaeili, Hao Wu, Sarthak Jain +6
Deep latent-variable models learn representations of high-dimensional data in an unsupervised manner. A number of recent efforts have focused on learning representations that disen…