41 citations · 118 across the 21 of their papers we have counts for
5 papers · 1 filter
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan, Zhou Zhao, Min Yang +4
Code summarization provides a high level natural language description of the function performed by code, as it can benefit the software maintenance, code categorization and retriev…
Target-Independent Active Learning via Distribution-Splitting
Xiaofeng Cao, Ivor W. Tsang, Xiaofeng Xu +1
To reduce the label complexity in Agnostic Active Learning (A^2 algorithm), volume-splitting splits the hypothesis edges to reduce the Vapnik-Chervonenkis (VC) dimension in version…
A Structured Perspective of Volumes on Active Learning
Xiaofeng Cao, Ivor W. Tsang, Guandong Xu
Active Learning (AL) is a learning task that requires learners interactively query the labels of the sampled unlabeled instances to minimize the training outputs with human supervi…
A Divide-and-Conquer Approach to Geometric Sampling for Active Learning
Xiaofeng Cao
Active learning (AL) repeatedly trains the classifier with the minimum labeling budget to improve the current classification model. The training process is usually supervised by an…
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering
Hongzhi Zhang, Guandong Xu, Xiao Liang +2
Relation detection plays a crucial role in Knowledge Base Question Answering (KBQA) because of the high variance of relation expression in the question. Traditional deep learning m…