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Scheduling

Project or Job Scheduling

Papers

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Showing 676–700 of 3104 papers

TitleStatusHype
PDPTW-DB: MILP-Based Offline Route Planning for PDPTW with Driver Breaks—0
Timely Remote Estimation with Memory at the Receiver—0
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review—0
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training—0
FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors—0
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility—0
Movable Intelligent Surface (MIS) for Wireless Communications: Architecture, Modeling, Algorithm, and Prototyping—0
Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify Scheduling on Efficient Meta-kernels—0
TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications—0
The behavioral approach for LPV data-driven representations—0
Betting vs. Trading: Learning a Linear Decision Policy for Selling Wind Power and Hydrogen—0
Power- and Fragmentation-aware Online Scheduling for GPU DatacentersCode0
Dynamic Scheduling Strategies for Resource Optimization in Computing Environments—0
Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer ProgramsCode0
An Age of Information Characterization of SPS for V2X Applications—0
Enhancing Diffusion Models for High-Quality Image Generation—0
Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission—0
TrainMover: An Interruption-Resilient and Reliable ML Training Runtime—0
LLM-DaaS: LLM-driven Drone-as-a-Service Operations from Text User Requests—0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning—0
Explicit and Implicit Graduated Optimization in Deep Neural NetworksCode0
Introduction to AI Planning—0
Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks—0
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