Papers
A Proposal-Based Approach for Activity Image-to-Video Retrieval
Ruicong Xu, Li Niu, Jianfu Zhang et al.
A QSAT Benchmark Based on Vertex-Folkman Problems (Student Abstract)
David E. Narváez
A Recurrent Model for Collective Entity Linking with Adaptive Features
Xiaoling Zhou, Yukai Miao, Wei Wang et al.
A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence
Patrick Shepherd, Judy Goldsmith
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz et al.
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
Yuming Shang, He-Yan Huang, Xian-Ling Mao et al.
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang, Yu Rong, Tingyang Xu et al.
A Robust Adversarial Training Approach to Machine Reading Comprehension
Kai Liu, Xin Liu, An Yang et al.
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan, Soumya Sanyal, Partha Talukdar
A Simple and Efficient Tensor Calculus
Sören Laue, Matthias Mitterreiter, Joachim Giesen
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract)
Thomas Paniagua, John Lagergren, Greg Foderaro
A Simple, Fast, and Safe Mediator for Congestion Management
Kei Ikegami, Kyohei Okumura, Takumi Yoshikawa
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
Chi Zhang, Bryant Chen, Judea Pearl
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
Monidipa Das, Mahardhika Pratama, Jie Zhang et al.
Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products
Haoran Li, Peng Yuan, Song Xu et al.
A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video
Chenglei Wu, Ruixiao Zhang, Zhi Wang et al.
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
Saku Sugawara, Pontus Stenetorp, Kentaro Inui et al.
Associating Natural Language Comment and Source Code Entities
Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney et al.
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators
Dae Ung Jo, ByeongJu Lee, Jongwon Choi et al.
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
Adel Bibi, El Houcine Bergou, Ozan Sener et al.
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Xin Dong, Jingchao Ni, Wei Cheng et al.
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
Fengxiang Yang, Ke Li, Zhun Zhong et al.
Asymptotically Unambitious Artificial General Intelligence
Michael Cohen, Badri Vellambi, Marcus Hutter
Asymptotic Risk of Bézier Simplex Fitting
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi et al.