Papers
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
Hoon Kim, Kangwook Lee, Gyeongjo Hwang et al.
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
Jan Karwowski, Jacek Mańdziuk, Adam Żychowski et al.
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
Steve T.K. Jan, Joseph Messou, Yen-Chen Lin et al.
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Shiyu Huang, Hang Su, Jun Zhu et al.
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
Binbin Hu, Zhiqiang Zhang, Chuan Shi et al.
Exploiting Sentence Embedding for Medical Question Answering
Yu Hao, Xien Liu, Ji Wu et al.
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
Rahul Gupta, Aditya Kanade, Shirish Shevade
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Shengnan Guo, Youfang Lin, Ning Feng et al.
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition
Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat et al.
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
Yanjie Fu, Pengyang Wang, Jiadi Du et al.
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
Wei Feng, Wentao Liu, Tong Li et al.
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
Zulong Diao, Xin Wang, Dafang Zhang et al.
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
Michael Dann, Fabio Zambetta, John Thangarajah
Region-Based Message Exploration over Spatio-Temporal Data Streams
Lisi Chen, Shuo Shang
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen, Qi Dou, Hao Chen et al.
Predicting Concrete and Abstract Entities in Modern Poetry
Fiammetta Caccavale, Anders Søgaard
Deep Latent Generative Models for Energy Disaggregation
Gissella Bejarano, David DeFazio, Arti Ramesh
Beyond Speech: Generalizing D-Vectors for Biometric Verification
Jacob Baldwin, Ryan Burnham, Andrew Meyer et al.
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque et al.
Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis
Ruobing Zheng, Ze Luo, Baoping Yan
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
Sendong Zhao, Ting Liu, Sicheng Zhao et al.
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis
Rongchang Zhao, Wangmin Liao, Beiji Zou et al.
EnsNet: Ensconce Text in the Wild
Shuaitao Zhang, Yuliang Liu, Lianwen Jin et al.
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder
Seunghyun Yoon, Kunwoo Park, Joongbo Shin et al.
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike Wu, Milan Mosse, Noah Goodman et al.