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Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
Multi-label zero-shot classification aims to predict multiple unseen cla...
07/30/2020 ∙ by He Huang, et al. ∙
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Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution
Click-through rate (CTR) prediction is an essential task in industrial a...
01/08/2020 ∙ by Shu-Ting Shi, et al. ∙
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CSID: Center, Scale, Identity and Density-aware Pedestrian Detection in a Crowd
Pedestrian detection in a crowd is very challenging due to vastly differ...
10/21/2019 ∙ by Jialiang Zhang, et al. ∙
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Correlation Maximized Structural Similarity Loss for Semantic Segmentation
Most semantic segmentation models treat semantic segmentation as a pixel...
10/19/2019 ∙ by Shuai Zhao, et al. ∙
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Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
An increasing number of well-trained deep networks have been released on...
06/24/2019 ∙ by Sihui Luo, et al. ∙
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Multi-Objective Generalized Linear Bandits
In this paper, we study the multi-objective bandits (MOB) problem, where...
05/30/2019 ∙ by Shiyin Lu, et al. ∙
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