Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Guo Jiadong"'
Autor:
Liang, Youwei, Stone, Kevin, Shameli, Ali, Cummins, Chris, Elhoushi, Mostafa, Guo, Jiadong, Steiner, Benoit, Yang, Xiaomeng, Xie, Pengtao, Leather, Hugh, Tian, Yuandong
Finding the optimal pass sequence of compilation can lead to a significant reduction in program size and/or improvement in program efficiency. Prior works on compilation pass ordering have two major drawbacks. They either require an excessive budget
Externí odkaz:
http://arxiv.org/abs/2301.05104
Autor:
Cummins, Chris, Wasti, Bram, Guo, Jiadong, Cui, Brandon, Ansel, Jason, Gomez, Sahir, Jain, Somya, Liu, Jia, Teytaud, Olivier, Steiner, Benoit, Tian, Yuandong, Leather, Hugh
Interest in applying Artificial Intelligence (AI) techniques to compiler optimizations is increasing rapidly, but compiler research has a high entry barrier. Unlike in other domains, compiler and AI researchers do not have access to the datasets and
Externí odkaz:
http://arxiv.org/abs/2109.08267
Safe exploration is crucial for the real-world application of reinforcement learning (RL). Previous works consider the safe exploration problem as Constrained Markov Decision Process (CMDP), where the policies are being optimized under constraints. H
Externí odkaz:
http://arxiv.org/abs/2107.04200
Autor:
Wang, Huidong, Guo, Jiadong, Yang, Yangzi, Wang, Ning, Yang, Xiao, Deng, Liang, Cao, Xiankun, Ran, Zhaoyang, Fang, Dong, Xu, Kang, Zhu, Yingchun, Zhao, Jie, Fu, Jingke, Hao, Yongqiang
Publikováno v:
In Materials & Design March 2024 239
Autor:
Zhang, Pu, Rong, Kewei, Guo, Jiadong, Cui, Lei, Kong, Keyu, Zhao, Chen, Yang, Huan, Xu, Hongtao, Qin, An, Ma, Peixiang, Yang, Xiao, Zhao, Jie
Publikováno v:
In Biomedicine & Pharmacotherapy September 2023 165
The increasing amount of data in astronomy provides great challenges for machine learning research. Previously, supervised learning methods achieved satisfactory recognition accuracy for the star-galaxy classification task, based on manually labeled
Externí odkaz:
http://arxiv.org/abs/1910.14056
Interpretability is crucial for machine learning in many scenarios such as quantitative finance, banking, healthcare, etc. Symbolic regression (SR) is a classic interpretable machine learning method by bridging X and Y using mathematical expressions
Externí odkaz:
http://arxiv.org/abs/1910.08892
Recently, a variety of regularization techniques have been widely applied in deep neural networks, such as dropout, batch normalization, data augmentation, and so on. These methods mainly focus on the regularization of weight parameters to prevent ov
Externí odkaz:
http://arxiv.org/abs/1908.05474
Autor:
Park, Chanoh, Kim, Soohwan, Moghadam, Peyman, Guo, Jiadong, Sridharan, Sridha, Fookes, Clinton
Map-centric SLAM is emerging as an alternative of conventional graph-based SLAM for its accuracy and efficiency in long-term mapping problems. However, in map-centric SLAM, the process of loop closure differs from that of conventional SLAM and the re
Externí odkaz:
http://arxiv.org/abs/1901.07660
Autor:
Li, Jingsi, Sun, Xiaohan, Dai, Jiajia, Yang, Jianmin, Li, Liang, Zhang, Zibo, Guo, Jiadong, Bai, Shumeng, Zheng, Yunquan, Shi, Xianai
Publikováno v:
In International Journal of Biological Macromolecules 15 January 2023 225:90-102