Africa
Adaptive Test-Time Personalization for Federated Learning
Personalized federated learning algorithms have shown promising results in adapting models to various distribution shifts.
A Appendix
Literal Interpretation: One of the limitations is the model's tendency to interpret questions
Optimal Algorithms for the Inhomogeneous Spiked Wigner model
We study a spiked Wigner problem with an inhomogeneous noise profile.
Replicability in Reinforcement Learning
We initiate the mathematical study of replicability as an algorithmic property in the context of reinforcement learning (RL). We focus on the fundamental setting of discounted tabular MDPs with access to a generative model .
Supplementary material 1 Dataset documentation
In this section, we follow the Datasheets for Datasets framework Gebru et al., 2020 to document the Who created the dataset (e.g., which team, research group) and on behalf of which Who funded the creation of the dataset? This work is funded by Digital Futures in the project EO-AI4GlobalChange. What do the instances that comprise the dataset represent (e.g., documents, photos, Each instance is one image consisting of 23 channels. How many instances are there in total (of each type, if appropriate)? There are 13 607 images in total.
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
Reasoning over TKGs has two challenges: 1.