Papers
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel
Jia He, Changying Du, Changde Du et al.
Online Multitask Relative Similarity Learning
Shuji Hao, Peilin Zhao, Yong Liu et al.
Self-paced Mixture of Regressions
Longfei Han, Dingwen Zhang, Dong Huang et al.
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
Junwei Han, Kai Xiong, Feiping Nie
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo et al.
Instability Prediction in Power Systems using Recurrent Neural Networks
Ankita Gupta, Gurunath Gurrala, Pidaparthy S Sastry
Improved Strong Worst-case Upper Bounds for MDP Planning
Anchit Gupta, Shivaram Kalyanakrishnan
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization
Yunhui Guo, Congfu Xu, Hanzhang Song et al.
Synthesizing Samples for Zero-shot Learning
Yuchen Guo, Guiguang Ding, Jungong Han et al.
SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing
Yuchen Guo, Guiguang Ding, Jungong Han et al.
Robust Asymmetric Bayesian Adaptive Matrix Factorization
Xin Guo, Boyuan Pan, Deng Cai et al.
Improved Deep Embedded Clustering with Local Structure Preservation
Xifeng Guo, Long Gao, Xinwang Liu et al.
ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery
Xiaojie Guo, Zhouchen Lin
Exclusivity Regularized Machine: A New Ensemble SVM Classifier
Xiaojie Guo, Xiaobo Wang, Haibin Ling
A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data
Jinjin Guo, Zhiguo Gong
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo, Ruiming TANG, Yunming Ye et al.
Extracting Visual Knowledge from the Web with Multimodal Learning
Dihong Gong, Daisy Zhe Wang
Sample Efficient Policy Search for Optimal Stopping Domains
Karan Goel, Christoph Dann, Emma Brunskill
Towards Understanding the Invertibility of Convolutional Neural Networks
Anna Gilbert, Yi Zhang, Kibok Lee et al.
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
Sahil Garg, Irina Rish, Guillermo Cecchi et al.
Identifying Human Mobility via Trajectory Embeddings
Qiang Gao, Fan Zhou, Kunpeng Zhang et al.
SVD-Based Screening for the Graphical Lasso
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel et al.
On the Complexity of Learning from Label Proportions
Benjamin Fish, Lev Reyzin
Dynamic Multi-Task Learning with Convolutional Neural Network
Yuchun Fang, Zhengyan Ma, Zhaoxiang Zhang et al.
Object Detection Meets Knowledge Graphs
Yuan Fang, Kingsley Kuan, Jie Lin et al.