output
20122026
most citedSimple and Deep Graph Convolutional Networks

402 citations

Showing 2018Show all

22 papers · 1 filter

cs.LG2018★ 24 cited

RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

Qingsong Wen, Jingkun Gao, Xiaomin Song +3

Decomposing complex time series into trend, seasonality, and remainder components is an important task to facilitate time series anomaly detection and forecasting. Although numerou…

cs.CV2018★ 1 cited

A Novel Integrated Framework for Learning both Text Detection and Recognition

Wanchen Sui, Qing Zhang, Jun Yang +1

In this paper, we propose a novel integrated framework for learning both text detection and recognition. For most of the existing methods, detection and recognition are treated as…

cs.CV2018★ 3 cited

Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks

Mengdi Wang, Qing Zhang, Jun Yang +2

In this work, we propose a graph-adaptive pruning (GAP) method for efficient inference of convolutional neural networks (CNNs). In this method, the network is viewed as a computati…

cs.LG2018★ 2 cited

Policy Optimization with Model-based Explorations

Feiyang Pan, Qingpeng Cai, An-Xiang Zeng +5

Model-free reinforcement learning methods such as the Proximal Policy Optimization algorithm (PPO) have successfully applied in complex decision-making problems such as Atari games…

cs.CL2018★ 5 cited

Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector

Shanchan Wu, Kai Fan, Qiong Zhang

Distant supervised relation extraction has been successfully applied to large corpus with thousands of relations. However, the inevitable wrong labeling problem by distant supervis…

cs.CL2018★ 4 cited

Learning Personalized End-to-End Goal-Oriented Dialog

Liangchen Luo, Wenhao Huang, Qi Zeng +2

Most existing works on dialog systems only consider conversation content while neglecting the personality of the user the bot is interacting with, which begets several unsolved iss…