Zobrazeno 1 - 10
of 18 424
pro vyhledávání: '"A. Tabor"'
Autor:
Struski, Łukasz, Tabor, Jacek
Understanding the decisions made by image classification networks is a critical area of research in deep learning. This task is traditionally divided into two distinct approaches: post-hoc methods and intrinsic methods. Post-hoc methods, such as Grad
Externí odkaz:
http://arxiv.org/abs/2409.10329
Autor:
Wang, Ruiqi, Wang, Zichen, Gao, Peiqi, Li, Mingzhen, Jeong, Jaehwan, Xu, Yihang, Lee, Yejin, Baum, Carolyn M., Connor, Lisa Tabor, Lu, Chenyang
With advancements in computer vision and deep learning, video-based human action recognition (HAR) has become practical. However, due to the complexity of the computation pipeline, running HAR on live video streams incurs excessive delays on embedded
Externí odkaz:
http://arxiv.org/abs/2409.05662
Diffusion models are among the most effective methods for image generation. This is in particular because, unlike GANs, they can be easily conditioned during training to produce elements with desired class or properties. However, guiding a pre-traine
Externí odkaz:
http://arxiv.org/abs/2407.12889
Autor:
Wang, Zhiyuan, Hassan, Nusayer, LeBaron, Virginia, Flickinger, Tabor E., Ling, David, Edwards, James, Wu, Congyu, Boukhechba, Mehdi, Barnes, Laura E.
Quality patient-provider communication is critical to improve clinical care and patient outcomes. While progress has been made with communication skills training for clinicians, significant gaps exist in how to best monitor, measure, and evaluate the
Externí odkaz:
http://arxiv.org/abs/2407.08143
Autor:
Gray, T. J., Allmond, J. M., Benetti, C., Wibisono, C., Baby, L., Gargano, A., Miyagi, T., Macchiavelli, A. O., Stuchbery, A. E., Wood, J. L., Ajayi, S., Aragon, J., Asher, B. W., Barber, P., Bhattacharya, S., Boisseau, R., Christie, J. M., Conley, A. L., De Rosa, P., Dowling, D. T., Esparza, C., Gibbons, J., Hanselman, K., Holt, J. D., Lopez-Caceres, S., Saavedra, E. Lopez, McCann, G. W., Morelock, A., Kelly, B., King, T. T., Rasco, B. C., Sitaraman, V., Tabor, S. L., Temanson, E., Tripathi, V., Wiedenhöver, I., Yadav, R. B.
Single-step Coulomb excitation of $^{46,48,49,50}$Ti is presented. A complete set of $E2$ matrix elements for the quintuplet of states in $^{49}$Ti, centered on the $2^+$ core excitation, was measured for the first time. A total of nine $E2$ matrix e
Externí odkaz:
http://arxiv.org/abs/2407.03503
Autor:
Gaiński, Piotr, Koziarski, Michał, Maziarz, Krzysztof, Segler, Marwin, Tabor, Jacek, Śmieja, Marek
Single-step retrosynthesis aims to predict a set of reactions that lead to the creation of a target molecule, which is a crucial task in molecular discovery. Although a target molecule can often be synthesized with multiple different reactions, it is
Externí odkaz:
http://arxiv.org/abs/2406.18739
Autor:
Trędowicz, Magdalena, Struski, Łukasz, Mazur, Marcin, Janusz, Szymon, Lewicki, Arkadiusz, Tabor, Jacek
Video processing is generally divided into two main categories: processing of the entire video, which typically yields optimal classification outcomes, and real-time processing, where the objective is to make a decision as promptly as possible. The l
Externí odkaz:
http://arxiv.org/abs/2406.11443
Static sparse training aims to train sparse models from scratch, achieving remarkable results in recent years. A key design choice is given by the sparse initialization, which determines the trainable sub-network through a binary mask. Existing metho
Externí odkaz:
http://arxiv.org/abs/2406.01755
One of the key advantages of 3D rendering is its ability to simulate intricate scenes accurately. One of the most widely used methods for this purpose is Gaussian Splatting, a novel approach that is known for its rapid training and inference capabili
Externí odkaz:
http://arxiv.org/abs/2405.18163
The recent trend in scaling language models has led to a growing demand for parameter-efficient tuning (PEFT) methods such as LoRA (Low-Rank Adaptation). LoRA consistently matches or surpasses the full fine-tuning baseline with fewer parameters. Howe
Externí odkaz:
http://arxiv.org/abs/2405.17604