12 citations · 42 across the 7 of their papers we have counts for
5 papers · 1 filter
Billion-Scale Thumbnail Optimization for Uncurated Short-Form Videos via Multi-Armed Bandits
Ying Han, Ling Liu, Fabio Soldo +7
This paper introduces a real-time thumbnail optimization system deployed at a global scale on a major short-form video platform. Unlike traditional long-form content, where…
Discriminative Clustering with Relative Constraints
Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales +1
We study the problem of clustering with relative constraints, where each constraint specifies relative similarities among instances. In particular, each constraint $(x_i, x_j, x_k)…
Active Metric Learning from Relative Comparisons
Sicheng Xiong, Rómer Rosales, Yuanli Pei +1
This work focuses on active learning of distance metrics from relative comparison information. A relative comparison specifies, for a data point triplet , that insta…
Learning Generative Models of Similarity Matrices
Romer Rosales, Brendan J. Frey
We describe a probabilistic (generative) view of affinity matrices along with inference algorithms for a subclass of problems associated with data clustering. This probabilistic vi…
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario
Yan Yan, Romer Rosales, Glenn Fung +1
Learning algorithms normally assume that there is at most one annotation or label per data point. However, in some scenarios, such as medical diagnosis and on-line collaboration,mu…