Papers
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
How RL Agents Behave When Their Actions Are Modified
Eric D. Langlois, Tom Everitt
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation
Swaroop Mishra, Anjana Arunkumar
How to Save your Annotation Cost for Panoptic Segmentation?
Xuefeng Du, ChenHan Jiang, Hang Xu et al.
How to Train Your Agent to Read and Write
Li Liu, Mengge He, Guanghui Xu et al.
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
Xiaoyang Lyu, Liang Liu, Mengmeng Wang et al.
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis
Rohan K Yadav, Lei Jiao, Ole-Christoffer Granmo et al.
Human Uncertainty Inference via Deterministic Ensemble Neural Networks
Yujin Cha, Sang Wan Lee
Humor Knowledge Enriched Transformer for Understanding Multimodal Humor
Md Kamrul Hasan, Sangwu Lee, Wasifur Rahman et al.
Hybrid-order Stochastic Block Model
Xunxun Wu, Chang-Dong Wang, Pengfei Jiao
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Yuanyuan Chen, Boyang Li, Han Yu et al.
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
Li Sun, Zhongbao Zhang, Jiawei Zhang et al.
Hypothesis Disparity Regularized Mutual Information Maximization
Qicheng Lao, Xiang Jiang, Mohammad Havaei
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong, Yang Cong, Gan Sun et al.
IA-GM: A Deep Bidirectional Learning Method for Graph Matching
Kaixuan Zhao, Shikui Tu, Lei Xu
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
Xinyang Zhang, Ren Pang, Shouling Ji et al.
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks
Insu Jeon, Wonkwang Lee, Myeongjang Pyeon et al.