Education
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
Extensive experiments on benchmarks from different DG tasks demonstrate that LFME is consistently beneficial to the baseline and can achieve comparable performance to existing arts.
CIFD: Controlled Information Flow to Enhance Knowledge Distillation
Knowledge Distillation is the mechanism by which the insights gained from a larger teacher model are transferred to a smaller student model.
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
While agents' learning is data-driven, sampling from millions
Cross-Domain Policy Adaptation via V alue-Guided Data Filtering
Part of this work was done during Kang Xu's internship at Shanghai Artificial Intelligence Laboratory.
Transfer Q: Principled Decoding for LLM Alignment
Aligning foundation models is essential for their safe and trustworthy deployment.
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout Irene Wang 1,3, Prashant J. Nair
Federated Learning (FL) allows machine learning models to train locally on individual mobile devices, synchronizing model updates via a shared server.