Papers
Heavy-ball Algorithms Always Escape Saddle Points
Tao Sun, Dongsheng Li, Zhe Quan et al.
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
NhatHai Phan, Minh N. Vu, Yang Liu et al.
Heterogeneous Graph Matching Networks for Unknown Malware Detection
Shen Wang, Zhengzhang Chen, Xiao Yu et al.
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction
Xudong Zhang, Pengxiang Wu, Changhe Yuan et al.
Hierarchical Diffusion Attention Network
Zhitao Wang, Wenjie Li
Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning
Bing Tian, Yong Zhang, Jin Wang et al.
Hierarchical Representation Learning for Bipartite Graphs
Chong Li, Kunyang Jia, Dan Shen et al.
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network
Zheng Liu, Yu Xing, Fangzhao Wu et al.
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
Miao Zhang, Huiqi Li, Steven Su
High Performance Gesture Recognition via Effective and Efficient Temporal Modeling
Yang Yi, Feng Ni, Yuexin Ma et al.
Hill Climbing on Value Estimates for Search-control in Dyna
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand et al.
Hintikka's World: Scalable Higher-order Knowledge
Tristan Charrier, Sébastien Gamblin, Alexandre Niveau et al.
HMLasso: Lasso with High Missing Rate
Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning
Shiyang Yan, Jun Xu, Yuai Liu et al.
How Hard Is the Manipulative Design of Scoring Systems?
Dorothea Baumeister, Tobias Hogrebe
How to Handle Missing Values in Multi-Criteria Decision Aiding?
Christophe Labreuche, Sébastien Destercke
How to Tame Your Anticipatory Algorithm
Allegra De Filippo, Michele Lombardi, Michela Milano
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset
Yusen Liu, Fangyuan He, Haodi Zhang et al.
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan, Rui Su, Weinan Zhang et al.
Hybrid Item-Item Recommendation via Semi-Parametric Embedding
Peng Hu, Rong Du, Yao Hu et al.
Hypergraph Induced Convolutional Manifold Networks
Taisong Jin, Liujuan Cao, Baochang Zhang et al.
Hyper-parameter Tuning under a Budget Constraint
Zhiyun Lu, Liyu Chen, Chao-Kai Chiang et al.
Identifying vulnerabilities in trust and reputation systems
Taha D. Güneş, Long Tran-Thanh, Timothy J. Norman
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow
Yujie Fan, Yiming Zhang, Shifu Hou et al.