SOTAVerified

Scheduling

Project or Job Scheduling

Papers

Showing 201250 of 3104 papers

TitleStatusHype
AdaS: Adaptive Scheduling of Stochastic GradientsCode1
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop SchedulingCode1
Adaptive Charging Networks: A Framework for Smart Electric Vehicle ChargingCode1
Learning the Markov Decision Process in the Sparse Gaussian EliminationCode1
Learning to generalize Dispatching rules on the Job Shop SchedulingCode1
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling ProblemCode1
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning ApproachCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
ConsumerBench: Benchmarking Generative AI Applications on End-User DevicesCode1
MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling ProblemCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
MCUNet: Tiny Deep Learning on IoT DevicesCode1
ControlLLM: Augment Language Models with Tools by Searching on GraphsCode1
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud EnvironmentsCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
MLink: Linking Black-Box Models from Multiple Domains for Collaborative InferenceCode1
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution DetectionCode1
MSPipe: Efficient Temporal GNN Training via Staleness-Aware PipelineCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
All is Not Lost: LLM Recovery without CheckpointsCode1
Multi-objective Deep Reinforcement Learning for Mobile Edge ComputingCode1
Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural NetworksCode1
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning ApproachCode1
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPSCode1
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep LearningCode1
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network EmbeddingCode1
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertaintyCode1
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable SurrogatesCode1
Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUsCode1
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkCode1
Clockwork Convnets for Video Semantic SegmentationCode1
A Fully Adaptive DRO Multistage Framework Based on MDR for Generation Scheduling under UncertaintyCode1
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental PlatformsCode1
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal SchedulingCode1
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional PipelinesCode1
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) PlanningCode1
Combinatorial Optimization with Policy Adaptation using Latent Space SearchCode1
Brain-to-Text Benchmark '24: Lessons LearnedCode1
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge NetworksCode1
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-DesignCode1
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line SystemsCode1
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural NetworkCode1
Automated Learning Rate Scheduler for Large-batch TrainingCode1
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference PipelineCode1
RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous DrivingCode1
AdaNAT: Exploring Adaptive Policy for Token-Based Image GenerationCode1
Sampler Scheduler for Diffusion ModelsCode1
Saturn: An Optimized Data System for Large Model Deep Learning WorkloadsCode1
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learningCode1
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU DatacentersCode1
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