Papers
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection
Sagar Verma, Nicolas Henwood, Marc Castella et al.
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
Andrew Perrault, Bryan Wilder, Eric Ewing et al.
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability
Elizabeth Bondi, Hoon Oh, Haifeng Xu et al.
M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra et al.
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks
Esma Mansouri-Benssassi, Juan Ye
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra et al.
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
Wenhe Zhang, Chi Zhang, Yixin Zhu et al.
Transfer Reinforcement Learning Using Output-Gated Working Memory
Arthur Williams, Joshua Phillips
Biologically Plausible Sequence Learning with Spiking Neural Networks
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar et al.
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
Qianhui Liu, Haibo Ruan, Dong Xing et al.
People Do Not Just Plan,They Plan to Plan
Mark Ho, David Abel, Jonathan Cohen et al.
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing
Kian Hamedani, Lingjia Liu, Shiya Liu et al.
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning
Mark Edmonds, Xiaojian Ma, Siyuan Qi et al.
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs
Mengxiao Zhu, Haogang Zhu
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection
Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar et al.
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework
Zhengyang Zhou, Yang Wang, Xike Xie et al.
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction
Haoxi Zhong, Yuzhong Wang, Cunchao Tu et al.
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
Yu Zheng, Bowei Chen, Timothy M. Hospedales et al.
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang et al.
MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking
Zewei Zhao, Houfeng Wang
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation
Chengqian Zhao, Cheng Feng, Dengwang Li et al.
Dynamic Malware Analysis with Feature Engineering and Feature Learning
Zhaoqi Zhang, Panpan Qi, Wei Wang
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving
Yifan Zhang, Jinghuai Zhang, Jindi Zhang et al.
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms
Xitong Zhang, He Zhu, Jiayu Zhou
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
Weijia Zhang, Hao Liu, Yanchi Liu et al.