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PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation


Apr 26, 2021
Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian

* The technique report for PanGu-$\alpha$ 

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Collaborative Machine Learning with Incentive-Aware Model Rewards


Oct 24, 2020
Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low

* 37th International Conference on Machine Learning (ICML 2020), Extended version with proofs and additional experimental results, 17 pages 

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Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression


Dec 05, 2019
Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low

* 34th AAAI Conference on Artificial Intelligence (AAAI 2020), Extended version with derivations, 12 pages 

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Bayesian Optimization with Binary Auxiliary Information


Jun 17, 2019
Yehong Zhang, Zhongxiang Dai, Kian Hsiang Low

* 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Extended version with derivations and more experimental results, 19 pages 

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Near-Optimal Active Learning of Multi-Output Gaussian Processes


Nov 24, 2015
Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan Kankanhalli

* 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Extended version with proofs, 13 pages 

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