Papers
Generalization Bounds for Regularized Pairwise Learning
Yunwen Lei, Shao-Bo Lin, Ke Tang
Z-Transforms and its Inference on Partially Observable Point Processes
Young Lee, Thanh Vinh Vo, Kar Wai Lim et al.
Open Loop Execution of Tree-Search Algorithms
Erwan Lecarpentier, Guillaume Infantes, Charles Lesire et al.
Geometric Enclosing Networks
Trung Le, Hung Vu, Tu Dinh Nguyen et al.
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
Nils M. Kriege, Christopher Morris, Anja Rey et al.
Learning SMT(LRA) Constraints using SMT Solvers
Samuel Kolb, Stefano Teso, Andrea Passerini et al.
Temporal Belief Memory: Imputing Missing Data during RNN Training
Yeo Jin Kim, Min Chi
Network Approximation using Tensor Sketching
Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
Zhao Kang, Xiao Lu, Jinfeng Yi et al.
Automatic Gating of Attributes in Deep Structure
Xiaoming Jin, Tao He, Cheng Wan et al.
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error
Chunhui Jiang, Guiying Li, Chao Qian et al.
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
Weiran Huang, Jungseul Ok, Liang Li et al.
A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling
Jiashen Hua, Xiaojin Gong
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search
Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
Summarizing Source Code with Transferred API Knowledge
Xing Hu, Ge Li, Xin Xia et al.
Doubly Aligned Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
Generative Adversarial Positive-Unlabelled Learning
Ming Hou, Brahim Chaib-draa, Chao Li et al.
Preventing Disparate Treatment in Sequential Decision Making
Hoda Heidari, Andreas Krause
Time-evolving Text Classification with Deep Neural Networks
Yu He, Jianxin Li, Yangqiu Song et al.
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He, Guoliang Kang, Xuanyi Dong et al.
Outer Product-based Neural Collaborative Filtering
Xiangnan He, Xiaoyu Du, Xiang Wang et al.
Differential Equations for Modeling Asynchronous Algorithms
Li He, Qi Meng, Wei Chen et al.
MIXGAN: Learning Concepts from Different Domains for Mixture Generation
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
Replicating Active Appearance Model by Generator Network
Tian Han, Jiawen Wu, Ying Nian Wu