Papers
Hierarchical Graph Convolution Network for Traffic Forecasting
Kan Guo, Yongli Hu, Yanfeng Sun et al.
Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised Human Parsing
Yunan Liu, Shanshan Zhang, Jian Yang et al.
Hierarchically and Cooperatively Learning Traffic Signal Control
Bingyu Xu, Yaowei Wang, Zhaozhi Wang et al.
Hierarchical Macro Discourse Parsing Based on Topic Segmentation
Feng Jiang, Yaxin Fan, Xiaomin Chu et al.
Hierarchical Multiple Kernel Clustering
Jiyuan Liu, Xinwang Liu, Siwei Wang et al.
Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback
Li-Yen Kuo, Ming-Syan Chen
Hierarchical Reinforcement Learning for Integrated Recommendation
Ruobing Xie, Shaoliang Zhang, Rui Wang et al.
Hierarchical Relational Inference
Aleksandar Stanić, Sjoerd van Steenkiste, Jürgen Schmidhuber
High-Confidence Off-Policy (or Counterfactual) Variance Estimation
Yash Chandak, Shiv Shankar, Philip S. Thomas
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
Eric Han, Ishank Arora, Jonathan Scarlett
High Dimensional Level Set Estimation with Bayesian Neural Network
Huong Ha, Sunil Gupta, Santu Rana et al.
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition
Guanyue Li, Qianfen Jiao, Sheng Qian et al.
High-Resolution Deep Image Matting
Haichao Yu, Ning Xu, Zilong Huang et al.
Hindsight and Sequential Rationality of Correlated Play
Dustin Morrill, Ryan D'Orazio, Reca Sarfati et al.
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
Jakob Kruse, Gianluca Detommaso, Ullrich Köthe et al.
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem
Xin Lin, Zhenya Huang, Hongke Zhao et al.
Holistic Multi-View Building Analysis in the Wild with Projection Pooling
Zbigniew Wojna, Krzysztof Maziarz, Łukasz Jocz et al.
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
Shaobo Li, Xiaoguang Li, Lifeng Shang et al.
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
Wenting Zhao, Shufeng Kong, Junwen Bai et al.
How Does Data Augmentation Affect Privacy in Machine Learning?
Da Yu, Huishuai Zhang, Wei Chen et al.
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Li Zhong, Zhen Fang, Feng Liu et al.
How Do We Move: Modeling Human Movement with System Dynamics
Hua Wei, Dongkuan Xu, Junjie Liang et al.
How Linguistically Fair Are Multilingual Pre-Trained Language Models?
Monojit Choudhury, Amit Deshpande