Papers
HEMM: Holistic Evaluation of Multimodal Foundation Models
Paul Pu Liang, Akshay Goindani, Talha Chafekar et al.
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model
Khoa Vo, Thinh Phan, Kashu Yamazaki et al.
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
Yancheng Zhang, Mengxin Zheng, Yuzhang Shang et al.
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume, Paul Doucet, Andrew H. Song et al.
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
Huancheng Chen, Haris Vikalo
HGDL: Heterogeneous Graph Label Distribution Learning
Yufei Jin, Heng Lian, Yi He et al.
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
Bo Cheng, Yuhang Ma, Liebucha Wu et al.
HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting
Qiankun Gao, Jiarui Meng, Chengxiang Wen et al.
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
Arshia Hemmat, Adam Davies, Tom A. Lamb et al.
Hierarchical and Density-based Causal Clustering
Kwangho Kim, Jisu Kim, Larry A. Wasserman et al.
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Wenzhi Fang, Dong-Jun Han, Evan Chen et al.
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
Yikun Miao, Meiqing Wu, Siew-Kei Lam et al.
Hierarchical Programmatic Option Framework
Yu-An Lin, Chen-Tao Lee, Chih-Han Yang et al.
Hierarchical Selective Classification
Shani Goren, Ido Galil, Ran El-Yaniv
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Elias Nehme, Rotem Mulayoff, Tomer Michaeli
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding
Jaeyoo Park, Jin Young Choi, Jeonghyung Park et al.
Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure
Simone Rossetti, Fiora Pirri
High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie, Xiaoming Huo
Higher-Order Causal Message Passing for Experimentation with Complex Interference
Mohsen Bayati, Yuwei Luo, William Overman et al.
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama et al.
High-probability complexity bounds for stochastic non-convex minimax optimization
Yassine Laguel, Yasa Syed, Necdet Serhat Aybat et al.
High Rank Path Development: an approach to learning the filtration of stochastic processes
Jiajie Tao, Hao Ni, Chong Liu
High-Resolution Image Harmonization with Adaptive-Interval Color Transformation
Quanling Meng, Qinglin Liu, Zonglin Li et al.