Comparing Federated Stochastic Gradient Descent and Federated Averaging for Predicting Hospital Length of Stayby Mehmet…
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Basesby Zhaorun Chen, Zhen Xiang, Chaowei…
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systemsby Roie Reshef, Kfir Y.…
A Practical Solver for Scalar Data Topological Simplificationby Mohamed Kissi, Mathieu Pont, Joshua A. Levine,…
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspectiveby Zhaoxin Wang, Handing Wang,…
Generalized Coverage for More Robust Low-Budget Active Learningby Wonho Bae, Junhyug Noh, Danica J. SutherlandFirst…
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deploymentby Yuhao Ji, Chao Fang,…
A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air…
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learningby Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart,…
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Spaceby Tigran Ramazyan, Mikhail…