94 citations · 276 across the 21 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 15 cited
Data Dropout: Optimizing Training Data for Convolutional Neural Networks
Tianyang Wang, Jun Huan, Bo Li
Deep learning models learn to fit training data while they are highly expected to generalize well to testing data. Most works aim at finding such models by creatively designing arc…
cs.CV2018★ 1 cited
Instance-based Deep Transfer Learning
Tianyang Wang, Jun Huan, Michelle Zhu
Deep transfer learning recently has acquired significant research interest. It makes use of pre-trained models that are learned from a source domain, and utilizes these models for…
cs.CY2018
Understanding Actors and Evaluating Personae with Gaussian Embeddings
Hannah Kim, Denys Katerenchuk, Daniel Billet +3
Understanding narrative content has become an increasingly popular topic. Nonetheless, research on identifying common types of narrative characters, or personae, is impeded by the…