Zobrazeno 1 - 10
of 11 476
pro vyhledávání: '"Cagatay, A."'
Autor:
Zhao, Yuheng, Wang, Junjie, Xiang, Linbin, Zhang, Xiaowen, Guo, Zifei, Turkay, Cagatay, Zhang, Yu, Chen, Siming
Visual analytics (VA) requires analysts to iteratively propose analysis tasks based on observations and execute tasks by creating visualizations and interactive exploration to gain insights. This process demands skills in programming, data processing
Externí odkaz:
http://arxiv.org/abs/2411.05651
Autor:
Öncel, Fırat, Bethge, Matthias, Ermis, Beyza, Ravanelli, Mirco, Subakan, Cem, Yıldız, Çağatay
In the last decade, the generalization and adaptation abilities of deep learning models were typically evaluated on fixed training and test distributions. Contrary to traditional deep learning, large language models (LLMs) are (i) even more overparam
Externí odkaz:
http://arxiv.org/abs/2410.05581
Autor:
AliAbbasi, Easa, Muzammil, Muhammad, Sirin, Omer, Lefèvre, Philippe, Martinsen, Ørjan Grøttem, Basdogan, Cagatay
Electroadhesion has emerged as a viable technique for displaying tactile feedback on touch surfaces, particularly capacitive touchscreens found in smartphones and tablets. This involves applying a voltage signal to the conductive layer of the touchsc
Externí odkaz:
http://arxiv.org/abs/2409.16936
Autor:
Chen, Peter Baile, Wenz, Fabian, Zhang, Yi, Kayali, Moe, Tatbul, Nesime, Cafarella, Michael, Demiralp, Çağatay, Stonebraker, Michael
Existing text-to-SQL benchmarks have largely been constructed using publicly available tables from the web with human-generated tests containing question and SQL statement pairs. They typically show very good results and lead people to think that LLM
Externí odkaz:
http://arxiv.org/abs/2409.02038
Reinforcement Learning (RL) has experienced significant advancement over the past decade, prompting a growing interest in applications within finance. This survey critically evaluates 167 publications, exploring diverse RL applications and frameworks
Externí odkaz:
http://arxiv.org/abs/2408.10932
Autor:
Ma, Guangdong, Shen, Che-Yung, Li, Jingxi, Huang, Luzhe, Isil, Cagatay, Ardic, Fazil Onuralp, Yang, Xilin, Li, Yuhang, Wang, Yuntian, Rahman, Md Sadman Sakib, Ozcan, Aydogan
Publikováno v:
Advanced Photonics Nexus (2024)
Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, from FOV B to FOV A. Here, we report unidirectional imaging under spati
Externí odkaz:
http://arxiv.org/abs/2408.05449
Data discovery is crucial for data management and analysis and can benefit from better utilization of metadata. For example, users may want to search data using queries like ``find the tables created by Alex and endorsed by Mike that contain sales nu
Externí odkaz:
http://arxiv.org/abs/2408.05439
Autor:
Balayn, Agathe, Pi, Yulu, Widder, David Gray, Alfrink, Kars, Yurrita, Mireia, Upadhyay, Sohini, Karusala, Naveena, Lyons, Henrietta, Turkay, Cagatay, Tessono, Christelle, Attard-Frost, Blair, Gadiraju, Ujwal
This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize the most pressing opportunities and challenges for contestability alo
Externí odkaz:
http://arxiv.org/abs/2408.01051
Autor:
Demiralp, Çağatay, Wenz, Fabian, Chen, Peter Baile, Kayali, Moe, Tatbul, Nesime, Stonebraker, Michael
Large language models (LLMs) know little about enterprise database tables in the private data ecosystem, which substantially differ from web text in structure and content. As LLMs' performance is tied to their training data, a crucial question is how
Externí odkaz:
http://arxiv.org/abs/2407.20256
Efficient and Safe Contact-rich pHRI via Subtask Detection and Motion Estimation using Deep Learning
This paper proposes an adaptive admittance controller for improving efficiency and safety in physical human-robot interaction (pHRI) tasks in small-batch manufacturing that involve contact with stiff environments, such as drilling, polishing, cutting
Externí odkaz:
http://arxiv.org/abs/2407.14161