Zobrazeno 1 - 10
of 1 379
pro vyhledávání: '"Chin, Sang"'
Autor:
Jeong, Davin, Gunby-Mann, Allison, Cohen, Sarel, Katzmann, Maximilian, Pham, Chau, Bhakta, Arnav, Friedrich, Tobias, Chin, Sang
One of the most fundamental graph problems is finding a shortest path from a source to a target node. While in its basic forms the problem has been studied extensively and efficient algorithms are known, it becomes significantly harder as soon as par
Externí odkaz:
http://arxiv.org/abs/2211.02681
Autor:
Le, Hieu, Daryanto, Taufiq, Zhafransyah, Fabian, Wijaya, Derry, Coppock, Elizabeth, Chin, Sang
This paper focuses on a referring expression generation (REG) task in which the aim is to pick out an object in a complex visual scene. One common theoretical approach to this problem is to model the task as a two-agent cooperative scheme in which a
Externí odkaz:
http://arxiv.org/abs/2205.07795
Autor:
Zhu, Rain, Chin-Sang, Ian D.
Publikováno v:
In Molecular and Cellular Endocrinology 1 May 2024 585
Autor:
Hu, Ziqi, Ullah, Aman, Prima-Garcia, Helena, Chin, Sang-Hyun, Wang, Yuanyuan, Aragó, Juan, Shi, Zujin, Gaita-Ariño, Alejandro, Coronado, Eugenio
To design molecular spin qubits with enhanced quantum coherence, a control of the coupling between the local vibrations and the spin states is crucial, which could be realized in principle by engineering molecular structures via coordination chemistr
Externí odkaz:
http://arxiv.org/abs/2106.03633
Autor:
Xu, Zhihao, Chin, Sang-Hyun, Park, Bo-In, Meng, Yuan, Kim, Sunok, Han, Sangmoon, Li, Yimeng, Kim, Dong-Hwan, Kim, Beom-Soo, Lee, Jin-Wook, Bae, Sang-Hoon
Publikováno v:
In Next Materials April 2024 3
We apply various seq2seq models on programming language correction tasks on Juliet Test Suite for C/C++ and Java of Software Assurance Reference Datasets(SARD), and achieve 75\%(for C/C++) and 56\%(for Java) repair rates on these tasks. We introduce
Externí odkaz:
http://arxiv.org/abs/2001.11367
Autor:
Romano, Michael F., Zhou, Xiao, Balachandra, Akshara R., Jadick, Michalina F., Qiu, Shangran, Nijhawan, Diya A., Joshi, Prajakta S., Mohammad, Shariq, Lee, Peter H., Smith, Maximilian J., Paul, Aaron B., Mian, Asim Z., Small, Juan E., Chin, Sang P., Au, Rhoda, Kolachalama, Vijaya B.
Publikováno v:
In iScience 15 September 2023 26(9)
Determining an appropriate number of features for each layer in a neural network is an important and difficult task. This task is especially important in applications on systems with limited memory or processing power. Many current approaches to redu
Externí odkaz:
http://arxiv.org/abs/1906.01026
Autor:
Rangamani, Akshay, Nguyen, Nam H., Kumar, Abhishek, Phan, Dzung, Chin, Sang H., Tran, Trac D.
It has been empirically observed that the flatness of minima obtained from training deep networks seems to correlate with better generalization. However, for deep networks with positively homogeneous activations, most measures of sharpness/flatness a
Externí odkaz:
http://arxiv.org/abs/1902.02434
Bagging, a powerful ensemble method from machine learning, improves the performance of unstable predictors. Although the power of Bagging has been shown mostly in classification problems, we demonstrate the success of employing Bagging in sparse regr
Externí odkaz:
http://arxiv.org/abs/1812.08808