Search Results for author: Yakun Yu

Found 7 papers, 0 papers with code

iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models

no code implementations14 Sep 2023 Yakun Yu, Shi-ang Qi, Jiuding Yang, Liyao Jiang, Di Niu

The searching stage identifies optimal instance-wise embedding dimensions across different field features via carefully designed Bernoulli gates with stochastic selection and regularizers.

Clustering feature selection +2

TCR: Short Video Title Generation and Cover Selection with Attention Refinement

no code implementations25 Apr 2023 Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu

In this paper, we first collect and present a real-world dataset named Short Video Title Generation (SVTG) that contains videos with appealing titles and covers.

Video Captioning

Search-Map-Search: A Frame Selection Paradigm for Action Recognition

no code implementations CVPR 2023 Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu

To overcome the limitations of existing methods, we propose a Search-Map-Search learning paradigm which combines the advantages of heuristic search and supervised learning to select the best combination of frames from a video as one entity.

Action Recognition Video Understanding

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph

no code implementations13 Oct 2021 Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen

Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the main idea of a text snippet on the fast-growing social media.

Dependency Parsing Graph Matching +4

Generating Lode Runner Levels by Learning Player Paths with LSTMs

no code implementations27 Jul 2021 Kynan Sorochan, Jerry Chen, Yakun Yu, Matthew Guzdial

Machine learning has been a popular tool in many different fields, including procedural content generation.

BIG-bench Machine Learning

Neural Architecture Search For Keyword Spotting

no code implementations1 Sep 2020 Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui

Deep neural networks have recently become a popular solution to keyword spotting systems, which enable the control of smart devices via voice.

 Ranked #1 on Keyword Spotting on Google Speech Commands (Google Speech Commands V1 6 metric)

Keyword Spotting Neural Architecture Search

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