Zobrazeno 1 - 10
of 28 641
pro vyhledávání: '"Xu, Yang"'
The historical interaction sequences of users plays a crucial role in training recommender systems that can accurately predict user preferences. However, due to the arbitrariness of user behavior, the presence of noise in these sequences poses a chal
Externí odkaz:
http://arxiv.org/abs/2409.17402
Interference, a key concept in causal inference, extends the reward modeling process by accounting for the impact of one unit's actions on the rewards of others. In contextual bandit (CB) settings, where multiple units are present in the same round,
Externí odkaz:
http://arxiv.org/abs/2409.15682
Hyperspectral and multispectral image fusion aims to generate high spectral and spatial resolution hyperspectral images (HR-HSI) by fusing high-resolution multispectral images (HR-MSI) and low-resolution hyperspectral images (LR-HSI). However, existi
Externí odkaz:
http://arxiv.org/abs/2409.09670
This paper introduces a new framework for clustering in a distributed network called Distributed Clustering based on Distributional Kernel (K) or KDC that produces the final clusters based on the similarity with respect to the distributions of initia
Externí odkaz:
http://arxiv.org/abs/2409.09418
This paper aims to explain how a deep neural network (DNN) gradually extracts new knowledge and forgets noisy features through layers in forward propagation. Up to now, although the definition of knowledge encoded by the DNN has not reached a consens
Externí odkaz:
http://arxiv.org/abs/2409.08712
The significant computational cost of multiplications hinders the deployment of deep neural networks (DNNs) on edge devices. While multiplication-free models offer enhanced hardware efficiency, they typically sacrifice accuracy. As a solution, multip
Externí odkaz:
http://arxiv.org/abs/2409.04829
Autor:
Shang, Tian, Wang, Yuting, Yu, Bochen, Xia, Keqi, Gawryluk, Darek J., Xu, Yang, Zhan, Qingfeng, Zhao, Jianzhou, Shiroka, Toni
Publikováno v:
Phys. Rev. B. 110, 064510 (2024)
The orthorhombic molybdenum carbide superconductor with $T_c$ = 3.2 K was investigated by muon-spin rotation and relaxation ($\mu$SR) measurements and by first-principle calculations. The low-temperature superfluid density, determined by transverse-f
Externí odkaz:
http://arxiv.org/abs/2409.02380
Today's top advertisers typically manage hundreds of campaigns simultaneously and consistently launch new ones throughout the year. A crucial challenge for marketing managers is determining the optimal allocation of limited budgets across various ad
Externí odkaz:
http://arxiv.org/abs/2409.00561
In this paper, we propose and study $r$-minimal codes, a natural extension of minimal codes which have been extensively studied with respect to Hamming metric, rank metric and sum-rank metric. We first propose $r$-minimal codes in a general setting w
Externí odkaz:
http://arxiv.org/abs/2408.15592
In federated learning, backdoor attacks embed triggers in the adversarial client's data to inject a backdoor into the model. To evade detection through sample analysis, non-sample-modifying backdoor attack methods based on dropout have been developed
Externí odkaz:
http://arxiv.org/abs/2408.13849