Papers
Heterogeneous Facility Location with Limited Resources
Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Heterogeneous Peer Effects in the Linear Threshold Model
Christopher Tran, Elena Zheleva
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks
Rui Ning, Jiang Li, Chunsheng Xin et al.
Hierarchical Context Tagging for Utterance Rewriting
Lisa Jin, Linfeng Song, Lifeng Jin et al.
Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization
Litian Zhang, Xiaoming Zhang, Junshu Pan
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization
Zixing Song, Irwin King
Hierarchical Image Generation via Transformer-Based Sequential Patch Selection
Xiaogang Xu, Ning Xu
Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction
Guoliang Zhao, Yuxun Zhou, Zhanbo Xu et al.
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection
Xinpeng Liu, Yong-Lu Li, Cewu Lu
HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning
Jinjie Ni, Vlad Pandelea, Tom Young et al.
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
Lin Kong, Wei Sun, Fanhua Shang et al.
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications
Siyuan Shen, Tianjia Shao, Kun Zhou et al.
Homography Decomposition Networks for Planar Object Tracking
Xinrui Zhan, Yueran Liu, Jianke Zhu et al.
Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics
Rostislav Horčík, Daniel Fišer, Álvaro Torralba
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
Ren Li, Yanan Cao, Qiannan Zhu et al.
How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild
Pablo Antonio Moreno Casares, Bao Sheng Loe, John Burden et al.
How Good Are Low-Rank Approximations in Gaussian Process Regression?
Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
Manon Revel, Tao Lin, Daniel Halpern
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework
Kritika Prakash, Fiza Husain, Praveen Paruchuri et al.
How to Distribute Data across Tasks for Meta-Learning?
Alexandru Cioba, Michael Bromberg, Qian Wang et al.
How to Find a Good Explanation for Clustering?
Sayan Bandyapadhyay, Fedor Fomin, Petr A Golovach et al.
How to Reduce Action Space for Planning Domains? (Student Abstract)
Harsha Kokel, Junkyu Lee, Michael Katz et al.
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract)
Piotr Gaiński, Łukasz Maziarka, Tomasz Danel et al.
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira et al.