Deep Learning
Learning from Highly Sparse Spatio-temporal Data
Incomplete spatio-temporal data in the real world has spawned much research.
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
The method begins with an iterative Gaussian cloud soft clustering module, offering structured temporal point cloud representations.
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Additionally, a learnable component of the language prompts is trained using the available few-shot labeled data.
Sequential Subset Matching for Dataset Distillation
The synthetic datasets are expected to capture the essence of the knowledge contained in real-world datasets such that the former yields a similar performance as the latter.
