Oceania
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models
Despite their different natures, these strategies often lead to comparable performance gains.
Combining Observational Data and Language for Species Range Estimation Max Hamilton 1 Christian Lange 2 Elijah Cole 3 Alexander Shepard 4
Species range maps (SRMs) are essential tools for research and policy-making in ecology, conservation, and environmental management.
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings Xiao T an
For instance, researchers are examining the gene network derived from the gene expression data of patients to investigate a rare disease.
Collaborative Learning via Bilevel Optimization
Identifying helpful clients, however, presents challenging and often introduces significant overhead.
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
We implement DapperFL on a real-world FL platform with heterogeneous clients.
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
Graph diffusion, which iteratively propagates real-valued substances among the graph, is used in numerous graph/network-involved applications.
