Stebėti
Mu Li
Mu Li
Patvirtintas el. paštas amazon.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Empirical evaluation of rectified activations in convolutional network
B Xu
arXiv preprint arXiv:1505.00853, 2015
42432015
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
arXiv preprint arXiv:1512.01274, 2015
29212015
Scaling distributed machine learning with the parameter server
M Li, DG Andersen, JW Park, AJ Smola, A Ahmed, V Josifovski, J Long, ...
11th USENIX Symposium on operating systems design and implementation (OSDI …, 2014
23082014
Resnest: Split-attention networks
H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
20022022
Bag of tricks for image classification with convolutional neural networks
T He, Z Zhang, H Zhang, Z Zhang, J Xie, M Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
18842019
Dive into deep learning
A Zhang, ZC Lipton, M Li, AJ Smola
arXiv preprint arXiv:2106.11342, 2021
16542021
Efficient mini-batch training for stochastic optimization
M Li, T Zhang, Y Chen, AJ Smola
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
10572014
Autogluon-tabular: Robust and accurate automl for structured data
N Erickson, J Mueller, A Shirkov, H Zhang, P Larroy, M Li, A Smola
arXiv preprint arXiv:2003.06505, 2020
7602020
Communication efficient distributed machine learning with the parameter server
M Li, DG Andersen, AJ Smola, K Yu
Advances in Neural Information Processing Systems 27, 2014
7522014
Automatic chain of thought prompting in large language models
Z Zhang, A Zhang, M Li, A Smola
arXiv preprint arXiv:2210.03493, 2022
7322022
Emotion classification based on gamma-band EEG
M Li, BL Lu
2009 Annual International Conference of the IEEE Engineering in medicine and …, 2009
5672009
Multimodal chain-of-thought reasoning in language models
Z Zhang, A Zhang, M Li, H Zhao, G Karypis, A Smola
arXiv preprint arXiv:2302.00923, 2023
3552023
Parameter Server for Distributed Machine Learning
M Li, L Zhou, Z Yang, A Li, F Xia, DG Andersen, A Smola
2952013
Bag of freebies for training object detection neural networks
Z Zhang, T He, H Zhang, Z Zhang, J Xie, M Li
arXiv preprint arXiv:1902.04103, 2019
2382019
Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing
J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ...
Journal of Machine Learning Research 21 (23), 1-7, 2020
2352020
A comprehensive study of deep video action recognition
Y Zhu, X Li, C Liu, M Zolfaghari, Y Xiong, C Wu, Z Zhang, J Tighe, ...
arXiv preprint arXiv:2012.06567, 2020
2252020
XGBoost: Extreme gradient boosting, 2021
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R package version 1 (1.1), 2021
1932021
xgboost: extreme gradient boosting. R package version 0.71. 2
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
Grin Verlag: München, Germnay, 2018
1902018
Optimizing {CNN} model inference on {CPUs}
Y Liu, Y Wang, R Yu, M Li, V Sharma, Y Wang
2019 USENIX Annual Technical Conference (USENIX ATC 19), 1025-1040, 2019
1832019
Aim: Adapting image models for efficient video action recognition
T Yang, Y Zhu, Y Xie, A Zhang, C Chen, M Li
arXiv preprint arXiv:2302.03024, 2023
1682023
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