Papers
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam et al.
A Multi-Scale Approach for Graph Link Prediction
Lei Cai, Shuiwang Ji
A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract)
Minni Jain, Maitree Leekha, Mononito Goswami
A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract)
Edoardo Savini, Cornelia Caragea
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading
Jun Wu, Yu Qiao, Lei Zhang et al.
An ADMM Based Framework for AutoML Pipeline Configuration
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy et al.
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Jihan Yang, Ruijia Xu, Ruiyu Li et al.
Analog Accelerator for Simulation and Diagnostics
Alexander Feldman, Ion Matei, Emil Totev et al.
Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract)
Anjali Bhavan, Mohit Sharma, Ramit Sawhney et al.
An Analytical Workflow for Clustering Forensic Images (Student Abstract)
Sara Mousavi, Dylan Lee, Tatianna Griffin et al.
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
Takuma Udagawa, Akiko Aizawa
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
Hao Zheng, Yizhe Zhang, Lin Yang et al.
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
Qing Guo, Zhu Sun, Jie Zhang et al.
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong, Hantao Guo, Yucheng Lin et al.
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran et al.
An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract)
U-Ju Gim, Jae-Jun Lee, Jeong-Hun Kim et al.
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
Huozhi Zhou, Lingda Wang, Lav Varshney et al.
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning
Guannan Liang, Qianqian Tong, Chunjiang Zhu et al.
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints
Chao Bian, Chao Feng, Chao Qian et al.
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
Giyoung Jeon, Haedong Jeong, Jaesik Choi
An Efficient Framework for Dense Video Captioning
Maitreya Suin, A. N. Rajagopalan
An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen