Seuraa
Brandon Norick
Brandon Norick
Vahvistettu sähköpostiosoite verkkotunnuksessa microsoft.com
Nimike
Viittaukset
Viittaukset
Vuosi
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
9342014
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ...
arXiv preprint arXiv:2404.14219, 2024
8442024
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
6562022
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
4412013
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
2442013
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
1482022
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
762012
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
592017
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
552024
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model (2022)
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
arXiv preprint arXiv:2201.11990, 0
31
Phi-3 technical report: A highly capable language model locally on your phone, 2024
M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ...
URL https://arxiv. org/abs/2404.14219, 2024
302024
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
& Catanzaro, B.(2022). 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, 0
22
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, ...
arXiv preprint arXiv:2201.11990, 2022
202022
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
172022
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 2022
S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ...
arXiv preprint arXiv:2201.11990, 0
12
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
Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset
D Su, K Kong, Y Lin, J Jennings, B Norick, M Kliegl, M Patwary, ...
arXiv preprint arXiv:2412.02595, 2024
12024
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Artikkelit 1–20