Zobrazeno 31 - 40
of 30 369
pro vyhledávání: '"Xu, Jian"'
Click-Through Rate (CTR) prediction serves as a fundamental component in online advertising. A common practice is to train a CTR model on advertisement (ad) impressions with user feedback. Since ad impressions are purposely selected by the model itse
Externí odkaz:
http://arxiv.org/abs/2306.03527
Autor:
Zhao, Zhishan, Gao, Jingyue, Zhang, Yu, Han, Shuguang, Lou, Siyuan, Sheng, Xiang-Rong, Wang, Zhe, Zhu, Han, Jiang, Yuning, Xu, Jian, Zheng, Bo
Cascading architecture has been widely adopted in large-scale advertising systems to balance efficiency and effectiveness. In this architecture, the pre-ranking model is expected to be a lightweight approximation of the ranking model, which handles m
Externí odkaz:
http://arxiv.org/abs/2306.03516
Publikováno v:
Advanced Science, 2023, 2305146
Recent advances in multistable metamaterials reveal a link between structural configuration transition and Boolean logic, heralding a new generation of computationally capable intelligent materials. To enable higher-level computation, existing comput
Externí odkaz:
http://arxiv.org/abs/2305.19856
Autor:
Chan, Zhangming, Zhang, Yu, Han, Shuguang, Bai, Yong, Sheng, Xiang-Rong, Lou, Siyuan, Hu, Jiacen, Liu, Baolin, Jiang, Yuning, Xu, Jian, Zheng, Bo
Conversion rate (CVR) prediction is one of the core components in online recommender systems, and various approaches have been proposed to obtain accurate and well-calibrated CVR estimation. However, we observe that a well-trained CVR prediction mode
Externí odkaz:
http://arxiv.org/abs/2305.12837
Materials synthesis in a microfluidic environment enables the flexible and controllable production of various types of nanostructures which are of great potential in the fields of chemistry, environmental science, bioengineering, and medicine. Here,
Externí odkaz:
http://arxiv.org/abs/2305.00920
Enable neural networks to capture 3D geometrical-aware features is essential in multi-view based vision tasks. Previous methods usually encode the 3D information of multi-view stereo into the 2D features. In contrast, we present a novel method, named
Externí odkaz:
http://arxiv.org/abs/2304.04038
The development of versatile robots capable of traversing challenging and irregular environments is of increasing interest in the field of robotics, and metameric robots have been identified as a promising solution due to their slender, deformable bo
Externí odkaz:
http://arxiv.org/abs/2303.11846