Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Patel, Gaurav"'
Autor:
Patel, Gaurav, Sandino, Christopher, Mahasseni, Behrooz, Zippi, Ellen L, Azemi, Erdrin, Moin, Ali, Minxha, Juri
In this paper, we propose a framework for efficient Source-Free Domain Adaptation (SFDA) in the context of time-series, focusing on enhancing both parameter efficiency and data-sample utilization. Our approach introduces an improved paradigm for sour
Externí odkaz:
http://arxiv.org/abs/2410.02147
Data-free Knowledge Distillation (DFKD) has gained popularity recently, with the fundamental idea of carrying out knowledge transfer from a Teacher neural network to a Student neural network in the absence of training data. However, in the Adversaria
Externí odkaz:
http://arxiv.org/abs/2302.14290
This paper looks at semi-supervised learning (SSL) for image-based text recognition. One of the most popular SSL approaches is pseudo-labeling (PL). PL approaches assign labels to unlabeled data before re-training the model with a combination of labe
Externí odkaz:
http://arxiv.org/abs/2209.00641
Publikováno v:
In Environmental Development June 2024 50
Publikováno v:
In Journal of Environmental Management March 2024 354
Autor:
Patel, Gaurav, Dolz, Jose
Weakly supervised learning has emerged as an appealing alternative to alleviate the need for large labeled datasets in semantic segmentation. Most current approaches exploit class activation maps (CAMs), which can be generated from image-level annota
Externí odkaz:
http://arxiv.org/abs/2104.02488
The accuracy of deep learning methods for two foundational tasks in medical image analysis -- detection and segmentation -- can suffer from class imbalance. We propose a `switching loss' function that adaptively shifts the emphasis between foreground
Externí odkaz:
http://arxiv.org/abs/2008.03750
Autor:
Patel, Gaurav H., Gruskin, David C., Arkin, Sophie C., Jamerson, Emery C., Ruiz-Betancourt, Daniel R., Klim, Casimir C., Sanchez-Peña, Juan P., Bartel, Laura P., Lee, Jessica K., Grinband, Jack, Martinez, Antígona, Berman, Rebecca A., Ochsner, Kevin N., Leopold, David A., Javitt, Daniel C.
Publikováno v:
In Biological Psychiatry Global Open Science July 2023 3(3):398-408
Publikováno v:
Journal of Atrial Fibrillation & Electrophysiology. Feb2024, Vol. 17 Issue 1, p68-71. 4p.
Publikováno v:
Journal of Cancer Research & Therapeutics. Oct-Dec2023, Vol. 19 Issue 7, p1714-1720. 7p.