关注
krishan subudhi
krishan subudhi
University of Washington, google, Microsoft , nit rourklea
在 google.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Few-shot named entity recognition: An empirical baseline study
J Huang, C Li, K Subudhi, D Jose, S Balakrishnan, W Chen, B Peng, ...
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
1042021
Few-shot named entity recognition: A comprehensive study
J Huang, C Li, K Subudhi, D Jose, S Balakrishnan, W Chen, B Peng, ...
arXiv preprint arXiv:2012.14978, 2020
912020
Sparsely activated mixture-of-experts are robust multi-task learners
S Gupta, S Mukherjee, K Subudhi, E Gonzalez, D Jose, AH Awadallah, ...
arXiv preprint arXiv:2204.07689, 2022
382022
Sparsely activated mixture-of-experts are robust multi-task learners. arXiv preprint arxiv 2204.0768, 2022
S Gupta, S Mukherjee, K Subudhi, E Gonzalez, D Jose, A Awadallah, ...
Cited on, 1, 0
6
Human Face Recognition and Detection
K Subudhi, R Mishra
2011
系统目前无法执行此操作,请稍后再试。
文章 1–5