Papers
Brain-inspired Balanced Tuning for Spiking Neural Networks
Tielin Zhang, Yi Zeng, Dongcheng Zhao et al.
CSNN: An Augmented Spiking based Framework with Perceptron-Inception
Qi Xu, Yu Qi, Hang Yu et al.
Memory Attention Networks for Skeleton-based Action Recognition
Chunyu Xie, Ce Li, Baochang Zhang et al.
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks
Peizhi Wu, Yi Tu, Xiaojie Yuan et al.
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction
Wen Wang, Wei Zhang, Jun Wang et al.
Synthesizing Pattern Programs from Examples
Sunbeom So, Hakjoo Oh
Cross-Domain Depression Detection via Harvesting Social Media
Tiancheng Shen, Jia Jia, Guangyao Shen et al.
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface
Hongchang Shan, Yu Liu, Todor Stefanov
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks
Yu Qi, Jiangrong Shen, Yueming Wang et al.
Algorithms for Fair Load Shedding in Developing Countries
Olabambo I. Oluwasuji, Obaid Malik, Jie Zhang et al.
NPE: Neural Personalized Embedding for Collaborative Filtering
ThaiBinh Nguyen, Atsuhiro Takasu
Similarity-Based Reasoning, Raven's Matrices, and General Intelligence
Can Serif Mekik, Ron Sun, David Yun Dai
On the Efficiency of Data Collection for Crowdsourced Classification
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition
Yang Li, Wenming Zheng, Zhen Cui et al.
Simultaneous Clustering and Ranking from Pairwise Comparisons
Jiyi Li, Yukino Baba, Hisashi Kashima
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances
Thao Le Minh, Nobuyuki Shimizu, Takashi Miyazaki et al.
A Novel Strategy for Active Task Assignment in Crowd Labeling
Zehong Hu, Jie Zhang
On the Cost Complexity of Crowdsourcing
Yili Fang, Hailong Sun, Pengpeng Chen et al.
Master-Slave Curriculum Design for Reinforcement Learning
Yuechen Wu, Wei Zhang, Ke Song
A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs
Yiyuan Wang, Shaowei Cai, Jiejiang Chen et al.
Understanding Subgoal Graphs by Augmenting Contraction Hierarchies
Tansel Uras, Sven Koenig
Meta-Level Control of Anytime Algorithms with Online Performance Prediction
Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
Distributed Pareto Optimization for Subset Selection
Chao Qian, Guiying Li, Chao Feng et al.
Sequence Selection by Pareto Optimization
Chao Qian, Chao Feng, Ke Tang
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection
Chao Qian, Yang Yu, Ke Tang