Papers
Getting in Shape: Word Embedding SubSpaces
Tianyuan Zhou, João Sedoc, Jordan Rodu
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance
Wenjie Ruan, Min Wu, Youcheng Sun et al.
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour
Andrea Aler Tubella, Andreas Theodorou, Frank Dignum et al.
Gradient Boosting with Piece-Wise Linear Regression Trees
Yu Shi, Jian Li, Zhize Li
Graph and Autoencoder Based Feature Extraction for Zero-shot Learning
Yang Liu, Deyan Xie, Quanxue Gao et al.
Graph-based Neural Sentence Ordering
Yongjing Yin, Linfeng Song, Jinsong Su et al.
Graph Contextualized Self-Attention Network for Session-based Recommendation
Chengfeng Xu, Pengpeng Zhao, Yanchi Liu et al.
Graph Convolutional Network Hashing for Cross-Modal Retrieval
Ruiqing Xu, Chao Li, Junchi Yan et al.
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference
Yongji Wu, Defu Lian, Shuowei Jin et al.
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Bingbing Xu, Huawei Shen, Qi Cao et al.
Graphical One-Sided Markets
Sagar Massand, Sunil Simon
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation
Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi
Graph Space Embedding
João Pereira, Albert K. Groen, Erik S. G. Stroes et al.
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu, Shirui Pan, Guodong Long et al.
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos
Zhaoyue Sun, Jiaze Chen, Hao Zhou et al.
Group-Fairness in Influence Maximization
Alan Tsang, Bryan Wilder, Eric Rice et al.
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning
Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben
Group Reconstruction and Max-Pooling Residual Capsule Network
Xinpeng Ding, Nannan Wang, Xinbo Gao et al.
GSN: A Graph-Structured Network for Multi-Party Dialogues
Wenpeng Hu, Zhangming Chan, Bing Liu et al.
GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction
Shen Fang, Qi Zhang, Gaofeng Meng et al.
Guarantees for Sound Abstractions for Generalized Planning
Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín et al.
Hallucinating Optical Flow Features for Video Classification
Yongyi Tang, Lin Ma, Lianqiang Zhou
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Nupur Kumari, Mayank Singh, Abhishek Sinha et al.
HDI-Forest: Highest Density Interval Regression Forest
Lin Zhu, Jiaxing Lu, Yihong Chen