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Scheduling

Project or Job Scheduling

Papers

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Showing 901–950 of 3104 papers

TitleStatusHype
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling—0
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters—0
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction—0
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but ImprovementCode1
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data—0
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape SchedulingCode1
Routing and Scheduling in Answer Set Programming applied to Multi-Agent Path Finding: Preliminary Report—0
Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Stochastic Lp string stability analysis in predecessor-following platoons under packet losses—0
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning—0
ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference—0
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food—0
Strict Partitioning for Sporadic Rigid Gang Tasks—0
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning—0
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem—0
Safe Planning through Incremental Decomposition of Signal Temporal Logic Specifications—0
Learning-Augmented Algorithms with Explicit Predictors—0
Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter ControlCode0
Characterization of Large Language Model Development in the DatacenterCode2
Enhancing Industrial Flexibility and Market Participation in Cement Manufacturing Through Optimized Production Scheduling—0
Don't Forget What I did?: Assessing Client Contributions in Federated Learning—0
RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach—0
A Sinkhorn-type Algorithm for Constrained Optimal Transport—0
Strong Priority and Determinacy in Timed CCS—0
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry—0
Maximizing Energy Charging for UAV-assisted MEC Systems with SWIPT—0
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous DataCode0
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG—0
Learning to Solve Job Shop Scheduling under UncertaintyCode2
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution—0
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-ServeCode3
Better Schedules for Low Precision Training of Deep Neural Networks—0
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
Implementation of Linear Parameter Varying System to Investigate the Impact of Varying Flow Rate on the Lithium-ion Batteries Thermal Management System Performance—0
Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off—0
Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks—0
Airport take-off and landing optimization through genetic algorithms—0
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments—0
Recursive GNNs for Learning Precoding Policies with Size-Generalizability—0
Energy-Efficient Scheduling with Predictions—0
Gradient-based Discrete Sampling with Automatic Cyclical SchedulingCode0
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling ProblemCode1
Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management—0
Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization—0
Learning to Schedule Online Tasks with Bandit Feedback—0
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling—0
MSPipe: Efficient Temporal GNN Training via Staleness-Aware PipelineCode1
Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method—0
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