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Jung-Jung Yeh
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2020 – today
- 2020
- [c3]Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh:
DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) 2020: 2925-2937 - [i1]Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh:
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR abs/2010.03099 (2020)
2010 – 2019
- 2014
- [c2]Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin:
Minimizing expected loss for risk-avoiding reinforcement learning. DSAA 2014: 11-17 - 2010
- [c1]Tsung-Ting Kuo, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin:
Designing, Analyzing and Exploiting Stake-Based Social Networks. ASONAM 2010: 402-403
2000 – 2009
- 2008
- [j1]Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Cho-Yi Hsiao, Anta Huang, Tsung-Ting Kuo, Wei-Chi Lai, Ming-Han Yang, Jung-Jung Yeh, Chun-Chao Yen, Shou-De Lin:
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method. SIGKDD Explor. 10(2): 43-46 (2008)
Coauthor Index
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last updated on 2024-08-10 01:23 CEST by the dblp team
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