Zobrazeno 1 - 10
of 302
pro vyhledávání: '"Lee, Jemin"'
The increasing complexity of deep learning models necessitates specialized hardware and software optimizations, particularly for deep learning accelerators. Existing autotuning methods often suffer from prolonged tuning times due to profiling invalid
Externí odkaz:
http://arxiv.org/abs/2411.10764
Prior research works have evaluated quantized LLMs using limited metrics such as perplexity or a few basic knowledge tasks and old datasets. Additionally, recent large-scale models such as Llama 3.1 with up to 405B have not been thoroughly examined.
Externí odkaz:
http://arxiv.org/abs/2409.11055
The majority of quantization methods have been proposed to reduce the model size of Vision Transformers, yet most of them have overlooked the quantization of non-linear operations. Only a few works have addressed quantization for non-linear operation
Externí odkaz:
http://arxiv.org/abs/2407.18437
In robotic object manipulation, human preferences can often be influenced by the visual attributes of objects, such as color and shape. These properties play a crucial role in operating a robot to interact with objects and align with human intention.
Externí odkaz:
http://arxiv.org/abs/2403.11513
Autor:
Yang, Yang, Chen, Mingzhe, Blankenship, Yufei, Lee, Jemin, Ghassemlooy, Zabih, Cheng, Julian, Mao, Shiwen
Positioning has recently received considerable attention as a key enabler in emerging applications such as extended reality, unmanned aerial vehicles and smart environments. These applications require both data communication and high-precision positi
Externí odkaz:
http://arxiv.org/abs/2403.11417
As the demand on artificial intelligence (AI)-based applications increases, the freshness of sensed data becomes crucial in the wireless sensor networks. Since those applications require a large amount of computation for processing the sensed data, i
Externí odkaz:
http://arxiv.org/abs/2401.13936
As advanced V2X applications emerge in the connected and autonomous vehicle (CAV), the data communications between in-vehicle end-devices and outside nodes increase, which make the end-to-end (E2E) security to in-vehicle end-devices as the urgent iss
Externí odkaz:
http://arxiv.org/abs/2312.07898
Recently, vision transformers (ViTs) have superseded convolutional neural networks in numerous applications, including classification, detection, and segmentation. However, the high computational requirements of ViTs hinder their widespread implement
Externí odkaz:
http://arxiv.org/abs/2303.12557
In this paper, we consider the service caching and the computing resource allocation in edge computing (EC) enabled networks. We introduce a random service caching design considering multiple types of latency sensitive services and the base stations
Externí odkaz:
http://arxiv.org/abs/2301.07916
In this paper, we analyze the non-linear age of information (AoI) performance in a point-to-point short packet communication system, where a transmitter generates packets based on status updates and transmits the packets to a receiver. Specifically,
Externí odkaz:
http://arxiv.org/abs/2210.15672