Papers
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.
Hybrid Curriculum Learning for Emotion Recognition in Conversation
Lin Yang, YI Shen, Yue Mao et al.
Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract)
Bibek Upadhayay, Vahid Behzadan
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu, Sen He, Yi-Zhe Song et al.
Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation
Xiang Li, Jinglu Wang, Xiao Li et al.
Hybrid Neural Networks for On-Device Directional Hearing
Anran Wang, Maruchi Kim, Hao Zhang et al.
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction
Chang-Yu Tai, Ming-Yao Li, Lun-Wei Ku
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
Frederik Baymler Mathiesen, Bin Yang, Jilin Hu
I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning
Carina Geldhauser, Andreas Daniel Matt, Christian Stussak