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Yue Yu

Neighborhood-Regularized Self-Training for Learning with Few Labels

Jan 10, 2023
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce Ho, Chao Zhang, Carl Yang

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* Accepted to AAAI 2023

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EDoG: Adversarial Edge Detection For Graph Neural Networks

Dec 27, 2022
Xiaojun Xu, Yue Yu, Hanzhang Wang, Alok Lal, Carl A. Gunter, Bo Li

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* Accepted by IEEE Conference on Secure and Trustworthy Machine Learning 2023

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Transferability Estimation Based On Principal Gradient Expectation

Nov 30, 2022
Huiyan Qi, Lechao Cheng, Jingjing Chen, Yue Yu, Zunlei Feng, Yu-Gang Jiang

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* 13 pages, 3 figures, 9 tables

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Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives

Oct 31, 2022
Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao

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* Accepted to EMNLP 2022 main conference

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COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

Oct 27, 2022
Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk

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* EMNLP 2022
* EMNLP 2022 Main Conference (Code and Model can be found at https://github.com/OpenMatch/COCO-DR)

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ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select

Oct 26, 2022
Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang

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* Accepted to EMNLP 2022

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