| Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning | Jan 1, 2025 | ClusteringDecoder | —Unverified | 0 | 0 |
| Hierarchical Spatiotemporal Transformers for Video Object Segmentation | Jul 17, 2023 | Inductive BiasObject | —Unverified | 0 | 0 |
| High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks | Nov 5, 2019 | Inductive BiasOptical Flow Estimation | —Unverified | 0 | 0 |
| How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation | Jul 11, 2024 | ClassificationDeep Learning | —Unverified | 0 | 0 |
| How Gradient Descent Separates Data with Neural Collapse: A Layer-Peeled Perspective | May 21, 2021 | Inductive Bias | —Unverified | 0 | 0 |
| How Inductive Bias in Machine Learning Aligns with Optimality in Economic Dynamics | Jun 4, 2024 | Inductive Bias | —Unverified | 0 | 0 |
| How to deal with missing data in supervised deep learning? | Sep 29, 2021 | Deep LearningInductive Bias | —Unverified | 0 | 0 |
| How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations | Jun 10, 2023 | Inductive BiasModel-based Reinforcement Learning | —Unverified | 0 | 0 |
| Hyperbolic Convolutional Neural Networks | Aug 29, 2023 | Explainable Modelsimage-classification | —Unverified | 0 | 0 |
| Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach | Oct 29, 2023 | Inductive BiasLink Prediction | —Unverified | 0 | 0 |
