Zobrazeno 1 - 10
of 178 226
pro vyhledávání: '"KING, P. A."'
Autor:
Zhang, Weizhi, Bei, Yuanchen, Yang, Liangwei, Zou, Henry Peng, Zhou, Peilin, Liu, Aiwei, Li, Yinghui, Chen, Hao, Wang, Jianling, Wang, Yu, Huang, Feiran, Zhou, Sheng, Bu, Jiajun, Lin, Allen, Caverlee, James, Karray, Fakhri, King, Irwin, Yu, Philip S.
Cold-start problem is one of the long-standing challenges in recommender systems, focusing on accurately modeling new or interaction-limited users or items to provide better recommendations. Due to the diversification of internet platforms and the ex
Externí odkaz:
http://arxiv.org/abs/2501.01945
Disease name normalization is an important task in the medical domain. It classifies disease names written in various formats into standardized names, serving as a fundamental component in smart healthcare systems for various disease-related function
Externí odkaz:
http://arxiv.org/abs/2501.01195
Autor:
Yang, Menglin, Chen, Jialin, Zhang, Yifei, Liu, Jiahong, Zhang, Jiasheng, Ma, Qiyao, Verma, Harshit, Zhang, Qianru, Zhou, Min, King, Irwin, Ying, Rex
The rapid advancement of foundation modelslarge-scale neural networks trained on diverse, extensive datasetshas revolutionized artificial intelligence, enabling unprecedented advancements across domains such as natural language processing, computer v
Externí odkaz:
http://arxiv.org/abs/2501.00365
Autor:
Augustine, John, Chatterjee, Soumyottam, King, Valerie, Kumar, Manish, Meir, Shachar, Peleg, David
We extend the study of retrieval problems in distributed networks, focusing on improving the efficiency and resilience of protocols in the \emph{Data Retrieval (DR) Model}. The DR Model consists of a complete network (i.e., a clique) with $k$ peers,
Externí odkaz:
http://arxiv.org/abs/2412.19649
Autor:
Cârlan, Carmen, Gomez, Francesca, Mathew, Yohan, Krishna, Ketana, King, René, Gebauer, Peter, Smith, Ben R.
Frontier artificial intelligence (AI) systems present both benefits and risks to society. Safety cases - structured arguments supported by evidence - are one way to help ensure the safe development and deployment of these systems. Yet the evolving na
Externí odkaz:
http://arxiv.org/abs/2412.17618
We establish the theoretical framework for implementing the maximumn entropy on the mean (MEM) method for linear inverse problems in the setting of approximate (data-driven) priors. We prove a.s. convergence for empirical means and further develop ge
Externí odkaz:
http://arxiv.org/abs/2412.17916
Autor:
Hu, Minda, Zhang, Qiyuan, Wang, Yufei, He, Bowei, Wang, Hongru, Zhou, Jingyan, Li, Liangyou, Wang, Yasheng, Ma, Chen, King, Irwin
As a crucial step to enhance LLMs alignment with human intentions, Instruction Fine-Tuning (IFT) has a high demand on dataset quality. However, existing IFT datasets often contain knowledge that is inconsistent with LLMs' internal knowledge learned f
Externí odkaz:
http://arxiv.org/abs/2412.16686
Accurate modeling of long-range forces is critical in atomistic simulations, as they play a central role in determining the properties of materials and chemical systems. However, standard machine learning interatomic potentials (MLIPs) often rely on
Externí odkaz:
http://arxiv.org/abs/2412.15455
Autor:
Carreira, João, Gokay, Dilara, King, Michael, Zhang, Chuhan, Rocco, Ignacio, Mahendran, Aravindh, Keck, Thomas Albert, Heyward, Joseph, Koppula, Skanda, Pot, Etienne, Erdogan, Goker, Hasson, Yana, Yang, Yi, Greff, Klaus, Moing, Guillaume Le, van Steenkiste, Sjoerd, Zoran, Daniel, Hudson, Drew A., Vélez, Pedro, Polanía, Luisa, Friedman, Luke, Duvarney, Chris, Goroshin, Ross, Allen, Kelsey, Walker, Jacob, Kabra, Rishabh, Aboussouan, Eric, Sun, Jennifer, Kipf, Thomas, Doersch, Carl, Pătrăucean, Viorica, Damen, Dima, Luc, Pauline, Sajjadi, Mehdi S. M., Zisserman, Andrew
Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x2013}$ action classification, ImageNet classification, etc. In this pape
Externí odkaz:
http://arxiv.org/abs/2412.15212
Autor:
Ng, King L., Carnevale, Luís H., Klamka, Michał, Deuar, Piotr, Bobinski, Tomasz, Theodorakis, Panagiotis E.
Deformed droplets are ubiquitous in various industrial applications, such as inkjet printing, lab-on-a-chip devices, and spray cooling, and can fundamentally affect the involved applications both favorably and unfavorably. Here, we employ many-body d
Externí odkaz:
http://arxiv.org/abs/2412.15125