Oceania
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds Zhi Gao 1, Y uwei Wu
We use the SGD optimizer in the three training stage.
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
Learning in hyperbolic spaces has attracted growing attention recently, owing to their capabilities in capturing hierarchical structures of data.
Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
Specifically, we introduce Multiway Transformer, where each block contains a pool of modality-specific experts and a shared self-attention layer.
Global Convergence of Direct Policy Search for State-Feedback H Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Clarke stationary points are global minimum.
Global Convergence of Direct Policy Search for State-Feedback H1 Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Clarke stationary points are global minimum.
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
It handles both the temporal and semantic contexts.