Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory controlby Zihao…
Attack Anything: Blind DNNs via Universal Background Adversarial Attackby Jiawei Lian, Shaohui Mei, Xiaofei Wang,…
Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Predictionby Xiaodi Li, Jianfeng…
Deep Feature Embedding for Tabular Databy Yuqian Wu, Hengyi Luo, Raymond S. T. LeeFirst submitted…
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Informationby Diyuan Wu, Ionut-Vlad…
SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Managementby Jyoti Shokhanda,…
Short-term Wind Speed Forecasting for Power Integration in Smart Grids based on Hybrid LSSVM-SVMD Methodby…
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning…
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentationsby Ahmed Hammam, Bharathwaj…
An Empirical Study of Scaling Laws for Transferby Matthew BarnettFirst submitted to arxiv on: 30…