Papers
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam et al.
Have We Solved The Hard Problem? It’s Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence
Wenqiang Lei, Yisong Miao, Runpeng Xie et al.
Heisenbot: A Rule-Based Game Agent for Gin Rummy
Matthew Eicholtz, Savanna Moss, Matthew Traino et al.
Heterogeneous Graph Structure Learning for Graph Neural Networks
Jianan Zhao, Xiao Wang, Chuan Shi et al.
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract)
Vince Jankovics, Michael Garcia Ortiz, Eduardo Alonso
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
Yifan Ding, Nicholas Botzer, Tim Weninger
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning
Jiankai Sun, Rui Liu, Bolei Zhou
Hierarchical Coherence Modeling for Document Quality Assessment
Dongliang Liao, Jin Xu, Gongfu Li et al.
Hierarchical Graph Capsule Network
Jinyu Yang, Peilin Zhao, Yu Rong et al.
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.