Zobrazeno 1 - 10
of 87 173
pro vyhledávání: '"Kurt, P"'
Autor:
Thelwall, Mike, Kurt, Zeyneb
Some research now suggests that ChatGPT can estimate the quality of journal articles from their titles and abstracts. This has created the possibility to use ChatGPT quality scores, perhaps alongside citation-based formulae, to support peer review fo
Externí odkaz:
http://arxiv.org/abs/2411.09768
Autor:
Hooper, Coleman, Kim, Sehoon, Mohammadzadeh, Hiva, Maheswaran, Monishwaran, Paik, June, Mahoney, Michael W., Keutzer, Kurt, Gholami, Amir
Emerging Large Language Model (LLM) applications require long input prompts to perform complex downstream tasks like document analysis and code generation. For these long context length applications, the length of the input prompt poses a significant
Externí odkaz:
http://arxiv.org/abs/2411.09688
Autor:
Newlin, Nancy R., Schilling, Kurt, Koudoro, Serge, Chandio, Bramsh Qamar, Kanakaraj, Praitayini, Moyer, Daniel, Kelly, Claire E., Genc, Sila, Chen, Jian, Yang, Joseph Yuan-Mou, Wu, Ye, He, Yifei, Zhang, Jiawei, Zeng, Qingrun, Zhang, Fan, Adluru, Nagesh, Nath, Vishwesh, Pathak, Sudhir, Schneider, Walter, Gade, Anurag, Rathi, Yogesh, Hendriks, Tom, Vilanova, Anna, Chamberland, Maxime, Pieciak, Tomasz, Ciupek, Dominika, Vega, Antonio Tristán, Aja-Fernández, Santiago, Malawski, Maciej, Ouedraogo, Gani, Machnio, Julia, Ewert, Christian, Thompson, Paul M., Jahanshad, Neda, Garyfallidis, Eleftherios, Landman, Bennett A.
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (DW-MRI) to qualitatively identify changes in white matter microstructu
Externí odkaz:
http://arxiv.org/abs/2411.09618
Autor:
Shan, Fei, Luther, Kurt
Genealogy, the study of family history and lineage, has seen tremendous growth over the past decade, fueled by technological advances such as home DNA testing and mass digitization of historical records. However, HCI research on genealogy practices i
Externí odkaz:
http://arxiv.org/abs/2411.07869
Autor:
Mehlhorn, Kurt
A set of $m$ indivisible goods is to be allocated to a set of $n$ agents. Each agent $i$ has an additive valuation function $v_i$ over goods. The value of a good $g$ for agent $i$ is either $1$ or $s$, where $s$ is a fixed rational number greater tha
Externí odkaz:
http://arxiv.org/abs/2411.06924
Autor:
Sivasubramaniam, Sithursan, Osei-Akoto, Cedric, Zhang, Yi, Stockinger, Kurt, Fuerst, Jonathan
Electronic health records (EHRs) are stored in various database systems with different database models on heterogeneous storage architectures, such as relational databases, document stores, or graph databases. These different database models have a b
Externí odkaz:
http://arxiv.org/abs/2411.05521
Query optimization has become a research area where classical algorithms are being challenged by machine learning algorithms. At the same time, recent trends in learned query optimizers have shown that it is prudent to take advantage of decades of da
Externí odkaz:
http://arxiv.org/abs/2411.04525
Autor:
Lambeta, Mike, Wu, Tingfan, Sengul, Ali, Most, Victoria Rose, Black, Nolan, Sawyer, Kevin, Mercado, Romeo, Qi, Haozhi, Sohn, Alexander, Taylor, Byron, Tydingco, Norb, Kammerer, Gregg, Stroud, Dave, Khatha, Jake, Jenkins, Kurt, Most, Kyle, Stein, Neal, Chavira, Ricardo, Craven-Bartle, Thomas, Sanchez, Eric, Ding, Yitian, Malik, Jitendra, Calandra, Roberto
Touch is a crucial sensing modality that provides rich information about object properties and interactions with the physical environment. Humans and robots both benefit from using touch to perceive and interact with the surrounding environment (Joha
Externí odkaz:
http://arxiv.org/abs/2411.02479
Many applications of cyber-physical systems require real-time communication: manufacturing, automotive, etc. Recent Ethernet standards for Time Sensitive Networking (TSN) offer time-triggered scheduling in order to guarantee low latency and jitter bo
Externí odkaz:
http://arxiv.org/abs/2411.01902
Publikováno v:
Conference on Artificial Intelligence (IEEE CAI) 2024
One of the major bottlenecks for efficient deployment of neural network based recommendation systems is the memory footprint of their embedding tables. Although many neural network based recommendation systems could benefit from the faster on-chip me
Externí odkaz:
http://arxiv.org/abs/2411.01611