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Scheduling

Project or Job Scheduling

Papers

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Showing 801–850 of 3104 papers

TitleStatusHype
On the project risk baseline: integrating aleatory uncertainty into project scheduling—0
Goal-Oriented Sensor Reporting Scheduling for Non-linear Dynamic System Monitoring—0
Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty—0
Efficient Industrial Refrigeration Scheduling with Peak Pricing—0
PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and PricesCode4
Multi-view Disparity Estimation Using a Novel Gradient Consistency Model—0
A Large Language Model-based multi-agent manufacturing system for intelligent shopfloor—0
Cost-Effective Online Multi-LLM Selection with Versatile Reward Models—0
Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning—0
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid CloudsCode0
The Road Less ScheduledCode7
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property PredictionCode0
A Memetic NSGA-III for Green Flexible Production with Real-Time Energy Costs & Emissions—0
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations—0
Efficient Orchestrated AI Workflows Execution on Scale-out Spatial Architecture—0
SHARON: Secure and Efficient Cross-shard Transaction Processing via Shard Rotation—0
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkCode1
Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing—0
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach—0
A Model for Optimal Resilient Planning Subject to Fallible Actuators—0
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving—0
A Simulation-Optimization Framework for Developing Wind-Resilient AAM Networks—0
Neuroscheduling for Remote Estimation—0
Federated Learning With Energy Harvesting Devices: An MDP Framework—0
Reinforcement learningCode0
Neural Speech Coding for Real-time Communications using Constant Bitrate Scalar Quantization—0
Treatment Effect Estimation for User Interest Exploration on Recommender SystemsCode1
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach—0
Goal-oriented compression for L_p-norm-type goal functions: Application to power consumption scheduling—0
Timely Offloading in Mobile Edge Cloud Systems—0
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization—0
Enhancing Traffic Prediction with Textual Data Using Large Language Models—0
Self-Consistent Recursive Diffusion Bridge for Medical Image TranslationCode2
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction—0
Age Aware Scheduling for Differentially-Private Federated Learning—0
Preble: Efficient Distributed Prompt Scheduling for LLM ServingCode2
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
Vidur: A Large-Scale Simulation Framework For LLM InferenceCode4
Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium—0
Deep Reinforcement Learning for Multi-User RF Charging with Non-linear Energy Harvesters—0
ReinWiFi: Application-Layer QoS Optimization of WiFi Networks with Reinforcement LearningCode0
Probabilistic Tube-based Control Synthesis of Stochastic Multi-Agent Systems under Signal Temporal Logic—0
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region—0
Market Power and Withholding Behavior of Energy Storage Units—0
Tabular and Deep Reinforcement Learning for Gittins Index—0
Non-clairvoyant Scheduling with Partial Predictions—0
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators—0
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace SettingCode2
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling—0
Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient DescentCode0
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