Papers
Hierarchical Pointer Net Parsing
Linlin Liu, Xiang Lin, Shafiq Joty et al.
Hierarchical Pointer Net Parsing
Linlin Liu, Xiang Lin, Shafiq Joty et al.
Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection
Ke-Xin He, Yu-Han Shen, Wei-Qiang Zhang
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
Jing Zhang, Bowen Hao, Bo Chen et al.
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li, Rui Wang, Minxue Tang et al.
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
Ethan Wilcox, Roger Levy, Richard Futrell
Hierarchical Representation Learning for Bipartite Graphs
Chong Li, Kunyang Jia, Dan Shen et al.
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
Kenneth Marino, Abhinav Gupta, Rob Fergus et al.
Hierarchical Self-Attention Network for Action Localization in Videos
Rizard Renanda Adhi Pramono, Yie-Tarng Chen, Wen-Hsien Fang
Hierarchical Shot Detector
Jiale Cao, Yanwei Pang, Jungong Han et al.
Hierarchical Text Classification with Reinforced Label Assignment
Yuning Mao, Jingjing Tian, Jiawei Han et al.
Hierarchical Text Classification with Reinforced Label Assignment
Yuning Mao, Jingjing Tian, Jiawei Han et al.
Hierarchical Transfer Learning for Multi-label Text Classification
Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal et al.
Hierarchical Transformers for Multi-Document Summarization
Yang Liu, Mirella Lapata
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation
Chuhan Wu, Fangzhao Wu, Junxin Liu et al.
Hierarchical Visuomotor Control of Humanoids
Josh Merel, Arun Ahuja, Vu Pham et al.
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction
Yifei Shi, Angel X. Chang, Zhelun Wu et al.
Hierarchy Parsing for Image Captioning
Ting Yao, Yingwei Pan, Yehao Li et al.
Hierarchy Response Learning for Neural Conversation Generation
Bo Zhang, Xiaoming Zhang
Hierarchy Response Learning for Neural Conversation Generation
Bo Zhang, Xiaoming Zhang
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 Dimensional Clustering with r-nets
Georgia Avarikioti, Alain Ryser, Yuyi Wang et al.
High Dimensional Inference in Partially Linear Models
Ying Zhu, Zhuqing Yu, Guang Cheng