Zobrazeno 1 - 10
of 20 341
pro vyhledávání: '"A. A. Shilin"'
Large Language Models (LLMs) have demonstrated remarkable performance across diverse domains, prompting researchers to explore their potential for use in recommendation systems. Initial attempts have leveraged the exceptional capabilities of LLMs, su
Externí odkaz:
http://arxiv.org/abs/2410.05939
Autor:
Qu, Shilin, Wang, Weiqing, Zhou, Xin, Zhan, Haolan, Li, Zhuang, Qu, Lizhen, Luo, Linhao, Li, Yuan-Fang, Haffari, Gholamreza
Publikováno v:
TOMM 2024
Sociocultural norms serve as guiding principles for personal conduct in social interactions, emphasizing respect, cooperation, and appropriate behavior, which is able to benefit tasks including conversational information retrieval, contextual informa
Externí odkaz:
http://arxiv.org/abs/2410.03049
Autor:
Hong, Lingyi, Li, Jinglun, Zhou, Xinyu, Yan, Shilin, Guo, Pinxue, Jiang, Kaixun, Chen, Zhaoyu, Gao, Shuyong, Zhang, Wei, Lu, Hong, Zhang, Wenqiang
Transformer-based trackers have established a dominant role in the field of visual object tracking. While these trackers exhibit promising performance, their deployment on resource-constrained devices remains challenging due to inefficiencies. To imp
Externí odkaz:
http://arxiv.org/abs/2409.17564
Model extraction aims to create a functionally similar copy from a machine learning as a service (MLaaS) API with minimal overhead, typically for illicit profit or as a precursor to further attacks, posing a significant threat to the MLaaS ecosystem.
Externí odkaz:
http://arxiv.org/abs/2409.14122
Autor:
Ying, Xinyi, Liu, Li, Lin, Zaipin, Shi, Yangsi, Wang, Yingqian, Li, Ruojing, Cao, Xu, Li, Boyang, Zhou, Shilin
Multi-frame infrared small target (MIRST) detection in satellite videos is a long-standing, fundamental yet challenging task for decades, and the challenges can be summarized as: First, extremely small target size, highly complex clutters & noises, v
Externí odkaz:
http://arxiv.org/abs/2409.12448
Shadow boundaries can be confused with material boundaries as both exhibit sharp changes in luminance or contrast within a scene. However, shadows do not modify the intrinsic color or texture of surfaces. Therefore, on both sides of shadow edges trav
Externí odkaz:
http://arxiv.org/abs/2409.06848
Autor:
Shan, Shilin, Pham, Quang-Cuong
Force and torque sensing is crucial in robotic manipulation across both collaborative and industrial settings. Traditional methods for dynamics identification enable the detection and control of external forces and torques without the need for costly
Externí odkaz:
http://arxiv.org/abs/2409.03369
Autor:
Ma, Shilin, Yue, Yukun
In this work, we introduce a novel strategy for tackling constrained optimization problems through a modified penalty method. Conventional penalty methods convert constrained problems into unconstrained ones by incorporating constraints into the loss
Externí odkaz:
http://arxiv.org/abs/2409.02260
Autor:
Gao, Yujie, Yang, Shilin
In this paper, we present the PBW-deformations of the smash product $A \# H_{2n^2}$ and the braided tensor product $(A \otimes^c A^{\mathrm{op}}_c) \# H_{2n^2}$ for the Kac-Paljutkin type Hopf algebra $H_{2n^2}$ and its Koszul $H_{2n^2}$-module algeb
Externí odkaz:
http://arxiv.org/abs/2408.16557
Stochastic gradient descent (SGD) has proven effective in solving many inventory control problems with demand learning. However, it often faces the pitfall of an infeasible target inventory level that is lower than the current inventory level. Severa
Externí odkaz:
http://arxiv.org/abs/2408.16181