Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bhat, Zaid Pervaiz"'
Autor:
Mehta, Nikhil, Lorraine, Jonathan, Masson, Steve, Arunachalam, Ramanathan, Bhat, Zaid Pervaiz, Lucas, James, Zachariah, Arun George
When training deep learning models, the performance depends largely on the selected hyperparameters. However, hyperparameter optimization (HPO) is often one of the most expensive parts of model design. Classical HPO methods treat this as a black-box
Externí odkaz:
http://arxiv.org/abs/2406.18630
Autor:
Zha, Daochen, Bhat, Zaid Pervaiz, Lai, Kwei-Herng, Yang, Fan, Jiang, Zhimeng, Zhong, Shaochen, Hu, Xia
Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler of its great success is the availability of abundant and high-quality data for building machine learning models. Recently, the role of data in AI has bee
Externí odkaz:
http://arxiv.org/abs/2303.10158
The role of data in building AI systems has recently been significantly magnified by the emerging concept of data-centric AI (DCAI), which advocates a fundamental shift from model advancements to ensuring data quality and reliability. Although our co
Externí odkaz:
http://arxiv.org/abs/2301.04819
Autor:
Wang, Guanchu, Bhat, Zaid Pervaiz, Jiang, Zhimeng, Chen, Yi-Wei, Zha, Daochen, Reyes, Alfredo Costilla, Niktash, Afshin, Ulkar, Gorkem, Okman, Erman, Cai, Xuanting, Hu, Xia
Deploying deep neural networks~(DNNs) on edge devices provides efficient and effective solutions for the real-world tasks. Edge devices have been used for collecting a large volume of data efficiently in different domains. DNNs have been an effective
Externí odkaz:
http://arxiv.org/abs/2202.07503
Autor:
Zha, Daochen, Bhat, Zaid Pervaiz, Chen, Yi-Wei, Wang, Yicheng, Ding, Sirui, Chen, Jiaben, Lai, Kwei-Herng, Bhat, Mohammad Qazim, Jain, Anmoll Kumar, Reyes, Alfredo Costilla, Zou, Na, Hu, Xia
Action recognition is an important task for video understanding with broad applications. However, developing an effective action recognition solution often requires extensive engineering efforts in building and testing different combinations of the m
Externí odkaz:
http://arxiv.org/abs/2108.04212
Autor:
Zha, Daochen, Bhat, Zaid Pervaiz, Chen, Yi-Wei, Wang, Yicheng, Ding, Sirui, Chen, Jiaben, Lai, Kwei-Herng, Bhat, Mohammad Qazim, Jain, Anmoll Kumar, Reyes, Alfredo Costilla, Zou, Na, Hu, Xia
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Action recognition is an important task for video understanding with broad applications. However, developing an effective action recognition solution often requires extensive engineering efforts in building and testing different combinations of the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11793ddb2e2007aef78661b2c62d3796
https://doi.org/10.24963/ijcai.2022/862
https://doi.org/10.24963/ijcai.2022/862
