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Scheduling

Project or Job Scheduling

Papers

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Showing 626–650 of 3104 papers

TitleStatusHype
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling—0
Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering ProblemCode0
State-Novelty Guided Action Persistence in Deep Reinforcement Learning—0
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion—0
Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationCode1
Differentiable Discrete Event Simulation for Queuing Network Control—0
Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling—0
Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference—0
TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and LogicCode0
TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic—0
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem—0
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning—0
Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach—0
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation—0
Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement LearningCode1
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation—0
AdaNAT: Exploring Adaptive Policy for Token-Based Image GenerationCode1
SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management—0
Fair Best Arm Identification with Fixed ConfidenceCode0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode—0
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent—0
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks—0
Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learning—0
Efficient LLM Scheduling by Learning to RankCode2
Hybrid Plant Models Call for a Different Plant Modelling Paradigm and a New Generation of Software (Heresy in the land of moles, fractions, & rigorous physical properties)—0
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