Guolin Ke
Guolin Ke
Email verificata su microsoft.com
Titolo
Citata da
Citata da
Anno
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu
Advances in Neural Information Processing Systems, 3148-3156, 2017
17812017
A communication-efficient parallel algorithm for decision tree
Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu
Advances in Neural Information Processing Systems, 1279-1287, 2016
552016
DeepGBM: A deep learning framework distilled by GBDT for online prediction tasks
G Ke, Z Xu, J Zhang, J Bian, TY Liu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
262019
Invertible Image Rescaling
M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu
arXiv preprint arXiv:2005.05650, 2020
72020
Deep Subdomain Adaptation Network for Image Classification
Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He
IEEE Transactions on Neural Networks and Learning Systems, 2020
52020
Rethinking Positional Encoding in Language Pre-training
G Ke, D He, TY Liu
arXiv preprint arXiv:2006.15595, 2020
32020
Taking Notes on the Fly Helps BERT Pre-training
Q Wu, C Xing, Y Li, G Ke, D He, TY Liu
arXiv preprint arXiv:2008.01466, 2020
22020
MC-BERT: Efficient Language Pre-Training via a Meta Controller
Z Xu, L Gong, G Ke, D He, S Zheng, L Wang, J Bian, TY Liu
arXiv preprint arXiv:2006.05744, 2020
22020
Light Multi-Segment Activation for Model Compression
Z Xu, G Ke, J Zhang, J Bian, TY Liu
AAAI, 6542-6549, 2020
2020
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
Z Liu, G Ke, J Bian, T Liu
arXiv preprint arXiv:1908.09362, 2019
2019
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