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Brandon Norick
Brandon Norick
Preverjeni e-poštni naslov na microsoft.com
Naslov
Navedeno
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Leto
Personalized entity recommendation: A heterogeneous information network approach
X Yu, X Ren, Y Sun, Q Gu, B Sturt, U Khandelwal, B Norick, J Han
Proceedings of the 7th ACM international conference on Web search and data …, 2014
8702014
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
arXiv preprint arXiv:2201.11990, 2022
5562022
Pathselclus: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Y Sun, B Norick, J Han, X Yan, PS Yu, X Yu
ACM transactions on knowledge discovery from data (TKDD) 7 (3), 1-23, 2013
4312013
Recommendation in heterogeneous information networks with implicit user feedback
X Yu, X Ren, Y Sun, B Sturt, U Khandelwal, Q Gu, B Norick, J Han
Proceedings of the 7th ACM conference on Recommender systems, 347-350, 2013
2342013
Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, and Bryan Catanzaro
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
Using deepspeed and megatron to train megatron-turing nlg 530b, a large …, 2022
1262022
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ...
arXiv preprint arXiv:2404.14219, 2024
1212024
Large-scale embedding learning in heterogeneous event data
H Gui, J Liu, F Tao, M Jiang, B Norick, J Han
2016 IEEE 16th International Conference on Data Mining (ICDM), 907-912, 2016
1042016
User guided entity similarity search using meta-path selection in heterogeneous information networks
X Yu, Y Sun, B Norick, T Mao, J Han
Proceedings of the 21st ACM international conference on Information and …, 2012
772012
Embedding learning with events in heterogeneous information networks
H Gui, J Liu, F Tao, M Jiang, B Norick, L Kaplan, J Han
IEEE transactions on knowledge and data engineering 29 (11), 2428-2441, 2017
562017
Effects of the number of developers on code quality in open source software: a case study
B Norick, J Krohn, E Howard, B Welna, C Izurieta
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical …, 2010
222010
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model. arXiv 2022
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
arXiv preprint arXiv:2201.11990, 0
17
Newsnetexplorer: automatic construction and exploration of news information networks
F Tao, G Brova, J Han, H Ji, C Wang, B Norick, A El-Kishky, J Liu, X Ren, ...
Proceedings of the 2014 ACM SIGMOD International Conference on Management of …, 2014
162014
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model. arXiv
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
Preprint published online January 28, 2022
122022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
A large-scale generative language model, 2022
122022
Active learning on heterogeneous information networks: A multi-armed bandit approach
D Xin, A El-Kishky, D Liao, B Norick, J Han
2018 IEEE International Conference on Data Mining (ICDM), 1350-1355, 2018
92018
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A large-scale generative language model (arXiv: 2201.11990). arXiv
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
62022
Using deepspeed and megatron to train megatronturing nlg 530b, a large-scale generative language model.(2022). doi: 10.48550
S Smith, M Patwary, B Norick
arXiv preprint ARXIV.2201.11990, 2022
52022
An Empirical Study of Mamba-based Language Models
R Waleffe, W Byeon, D Riach, B Norick, V Korthikanti, T Dao, A Gu, ...
arXiv preprint arXiv:2406.07887, 2024
42024
Semantically-guided clustering of text documents via frequent subgraphs discovery
RA Angryk, MS Hossain, B Norick
Foundations of Intelligent Systems: 19th International Symposium, ISMIS 2011 …, 2011
12011
Leveraging heterogeneous information networks for personalized entity recommendation
B Norick
University of Illinois at Urbana-Champaign, 2017
2017
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