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pro vyhledávání: '"Dotan, Or"'
Time series forecasting is critical in numerous real-world applications, requiring accurate predictions of future values based on observed patterns. While traditional forecasting techniques work well in in-domain scenarios with ample data, they strug
Externí odkaz:
http://arxiv.org/abs/2411.15743
We present a technique and benchmark dataset for estimating the relative 3D orientation between a pair of Internet images captured in an extreme setting, where the images have limited or non-overlapping field of views. Prior work targeting extreme ro
Externí odkaz:
http://arxiv.org/abs/2411.07096
Autor:
Johnson, Nari, Silva, Elise, Leon, Harrison, Eslami, Motahhare, Schwanke, Beth, Dotan, Ravit, Heidari, Hoda
Most AI tools adopted by governments are not developed internally, but instead are acquired from third-party vendors in a process called public procurement. While scholars and regulatory proposals have recently turned towards procurement as a site of
Externí odkaz:
http://arxiv.org/abs/2411.04994
Training neural networks is computationally heavy and energy-intensive. Many methodologies were developed to save computational requirements and energy by reducing the precision of network weights at inference time and introducing techniques such as
Externí odkaz:
http://arxiv.org/abs/2410.09734
Publikováno v:
14 October 2024
Multi-agent collaboration involves multiple participants working together in a shared environment to achieve a common goal. These agents share information, divide tasks, and synchronize their actions. Key aspects of multi agent collaboration include
Externí odkaz:
http://arxiv.org/abs/2409.10375
Artificial intelligence (AI) creates opportunities for assessments, such as efficiencies for item generation and scoring of spoken and written responses. At the same time, it poses risks (such as bias in AI-generated item content). Responsible AI (RA
Externí odkaz:
http://arxiv.org/abs/2409.07476
The ability of robots to manipulate objects relies heavily on their aptitude for visual perception. In domains characterized by cluttered scenes and high object variability, most methods call for vast labeled datasets, laboriously hand-annotated, wit
Externí odkaz:
http://arxiv.org/abs/2407.01302
Autor:
Joglekar, Omkar, Lancewicki, Tal, Kozlovsky, Shir, Tchuiev, Vladimir, Feldman, Zohar, Di Castro, Dotan
Large Language Models (LLMs) and strong vision models have enabled rapid research and development in the field of Vision-Language-Action models that enable robotic control. The main objective of these methods is to develop a generalist policy that ca
Externí odkaz:
http://arxiv.org/abs/2406.16093
Radar sensors are low cost, long-range, and weather-resilient. Therefore, they are widely used for driver assistance functions, and are expected to be crucial for the success of autonomous driving in the future. In many perception tasks only pre-proc
Externí odkaz:
http://arxiv.org/abs/2406.02158
This paper proposes an approach to the responsible adoption of generative AI in higher education, employing a ''points to consider'' approach that is sensitive to the goals, values, and structural features of higher education. Higher education's etho
Externí odkaz:
http://arxiv.org/abs/2406.01930