Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mehnaz, Laiba"'
In this paper, we report the performance benchmarking results of deep learning models on MLCommons' Science cloud-masking benchmark using a high-performance computing cluster at New York University (NYU): NYU Greene. MLCommons is a consortium that de
Externí odkaz:
http://arxiv.org/abs/2403.04553
Autor:
Chennamsetti, Varshitha, von Laszewski, Gregor, Gu, Ruochen, Mehnaz, Laiba, Papay, Juri, Jackson, Samuel, Thiyagalingam, Jeyan, Samsonau, Sergey V., Fox, Geoffrey C.
In this paper, we report on work performed for the MLCommons Science Working Group on the cloud masking benchmark. MLCommons is a consortium that develops and maintains several scientific benchmarks that aim to benefit developments in AI. The benchma
Externí odkaz:
http://arxiv.org/abs/2401.08636
Autor:
Samsonau, Sergey V, Kurbonova, Aziza, Jiang, Lu, Lashen, Hazem, Bai, Jiamu, Merchant, Theresa, Wang, Ruoxi, Mehnaz, Laiba, Wang, Zecheng, Patil, Ishita
We report a framework that enables the wide adoption of authentic research educational methodology at various schools by addressing common barriers. The guiding principles we present were applied to implement a program in which teams of students with
Externí odkaz:
http://arxiv.org/abs/2210.08966
Autor:
Mehnaz, Laiba, Mahata, Debanjan, Gosangi, Rakesh, Gunturi, Uma Sushmitha, Jain, Riya, Gupta, Gauri, Kumar, Amardeep, Lee, Isabelle, Acharya, Anish, Shah, Rajiv Ratn
Code-switching is the communication phenomenon where speakers switch between different languages during a conversation. With the widespread adoption of conversational agents and chat platforms, code-switching has become an integral part of written co
Externí odkaz:
http://arxiv.org/abs/2104.08578
Autor:
Anand, Sarthak, Mahata, Debanjan, Aggarwal, Kartik, Mehnaz, Laiba, Shahid, Simra, Zhang, Haimin, Kumar, Yaman, Shah, Rajiv Ratn, Uppal, Karan
In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums. Given a sentence, the task asks to predict whether the sentence consists of a suggestion or not.
Externí odkaz:
http://arxiv.org/abs/1904.09076
Autor:
Zhang, Haimin, Mahata, Debanjan, Shahid, Simra, Mehnaz, Laiba, Anand, Sarthak, Singla, Yaman, Shah, Rajiv Ratn, Uppal, Karan
In this paper we present our approach and the system description for Sub-task A and Sub Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social Media. Sub-task A involves identifying if a given tweet is offensive or n
Externí odkaz:
http://arxiv.org/abs/1904.09072
Autor:
Samsonau, Sergey V, Kurbonova, Aziza, Jiang, Lu, Lashen, Hazem, Bai, Jiamu, Merchant, Theresa, Wang, Ruoxi, Mehnaz, Laiba, Wang, Zecheng, Patil, Ishita
We report a methodology in which students gain experience in authentic research by developing artificial intelligence (AI) solutions for researchers in natural sciences. While creating education benefits for students, our approach also directly benef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9560880c46b58686c1089c4c97bbcfb3
http://arxiv.org/abs/2210.08966
http://arxiv.org/abs/2210.08966