Papers
20,003 papers found
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz et al.
Hierarchical Photo-Scene Encoder for Album Storytelling
Bairui Wang, Lin Ma, Wei Zhang et al.
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
Jing Zhang, Bowen Hao, Bo Chen et al.
High Dimensional Clustering with r-nets
Georgia Avarikioti, Alain Ryser, Yuyi Wang et al.
Higher-Order Multi-Layer Community Detection
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche et al.
Holographic Factorization Machines for Recommendation
Yi Tay, Shuai Zhang, Anh Tuan Luu et al.
Horizontal Pyramid Matching for Person Re-Identification
Yang Fu, Yunchao Wei, Yuqian Zhou et al.
Hotels-50K: A Global Hotel Recognition Dataset
Abby Stylianou, Hong Xuan, Maya Shende et al.
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
How Similar Are Two Elections?
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko et al.
How to Combine Tree-Search Methods in Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer et al.
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
Yi Hao, Nannan Wang, Jie Li et al.
Human Action Transfer Based on 3D Model Reconstruction
Shanyan Guan, Shuo Wen, Dexin Yang et al.
Human-in-the-Loop Feature Selection
Alvaro H. C. Correia, Freddy Lecue
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection
Qing En, Lijuan Duan, Zhaoxiang Zhang et al.
Human-Like Sketch Object Recognition via Analogical Learning
Kezhen Chen, Irina Rabkina, Matthew D. McLure et al.
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Tianyu Gao, Xu Han, Zhiyuan Liu et al.
Hybrid Reinforcement Learning with Expert State Sequences
Xiaoxiao Guo, Shiyu Chang, Mo Yu et al.
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Shipeng Wang, Jian Sun, Zongben Xu
Hyperbolic Heterogeneous Information Network Embedding
Xiao Wang, Yiding Zhang, Chuan Shi
Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang et al.