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09/05/2022
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation
We consider a novel task of automatically generating text descriptions o...
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04/26/2022
Thompson Sampling for Bandit Learning in Matching Markets
The problem of two-sided matching markets has a wide range of real-world...
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07/26/2019
Deep Reinforcement Learning for Personalized Search Story Recommendation
In recent years, search story, a combined display with other organic cha...
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06/19/2017
Multi-Label Annotation Aggregation in Crowdsourcing
As a means of human-based computation, crowdsourcing has been widely use...
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05/01/2017
Convex-constrained Sparse Additive Modeling and Its Extensions
Sparse additive modeling is a class of effective methods for performing ...
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12/09/2015
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting
We propose a distributed approach to train deep neural networks (DNNs), ...
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11/13/2014
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization
We propose a scalable temporal latent space model for link prediction in...
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06/18/2012