Papers
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays
Wei Song, Ziyao Song, Lizhen Liu et al.
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)
Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin et al.
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines
Johannes Huegle, Christopher Hagedorn, Matthias Uflacker
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Bei Chen, Jiaqi Guo et al.
Human Consensus-Oriented Image Captioning
Ziwei Wang, Zi Huang, Yadan Luo
Human-Driven FOL Explanations of Deep Learning
Gabriele Ciravegna, Francesco Giannini, Marco Gori et al.
Human Gaze Assisted Artificial Intelligence: A Review
Ruohan Zhang, Akanksha Saran, Bo Liu et al.
Human Values and Digital Patterns in Physical Exercise (Extended Abstract)
Yelena Mejova, Kyriaki Kalimeri
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations
Peixi Peng, Junliang Xing, Lili Cao
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding
Chengkun Zhang, Junbin Gao
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network
Rui Liu, Huilin Peng, Yong Chen et al.
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space
Xiao Zhang, Shizhong Liao
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
Rundong Wang, Runsheng Yu, Bo An et al.
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
Xufang Luo, Qi Meng, Di He et al.
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
Ruocheng Guo, Jundong Li, Yichuan Li et al.
IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract)
Dianmu Zhang, Blake Hannaford
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic
Lasse Dissing, Thomas Bolander
Improving Knowledge Tracing via Pre-training Question Embeddings
Yunfei Liu, Yang Yang, Xianyu Chen et al.
Incentive-Compatible Diffusion Auctions
Bin Li, Dong Hao, Dengji Zhao
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract)
Alice Gao, James Wright, Kevin Leyton-Brown
Incorporating Extra Knowledge to Enhance Word Embedding
Arpita Roy, Shimei Pan
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction
David Sarne, Chen Rozenshtein