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Born Again Neural Rankers


Sep 30, 2021
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork


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Charformer: Fast Character Transformers via Gradient-based Subword Tokenization


Jul 02, 2021
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler


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Are Pre-trained Convolutions Better than Pre-trained Transformers?


May 07, 2021
Yi Tay, Mostafa Dehghani, Jai Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler

* Accepted to ACL 2021 

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OmniNet: Omnidirectional Representations from Transformers


Mar 01, 2021
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler


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DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption


Dec 21, 2020
Yi Ding, Fuyuan Tan, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin


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Do RNN and LSTM have Long Memory?


Jun 10, 2020
Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian

* Accepted by ICML 2020. Added references, experiments and acknowledgements 

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An Improvement of PAA on Trend-Based Approximation for Time Series


Jun 28, 2019
Chunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe L. Jiang


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Efficient Online Bootstrapping for Large Scale Learning


Dec 18, 2013
Zhen Qin, Vaclav Petricek, Nikos Karampatziakis, Lihong Li, John Langford

* 5 pages, appeared at Big Learning Workshop at Neural Information Processing Systems 2013 

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