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Scheduling

Project or Job Scheduling

Papers

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Showing 201–225 of 3104 papers

TitleStatusHype
ConsumerBench: Benchmarking Generative AI Applications on End-User DevicesCode1
Latency-aware Unified Dynamic Networks for Efficient Image RecognitionCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingCode1
Learning the Markov Decision Process in the Sparse Gaussian EliminationCode1
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement LearningCode1
Compositional Video Synthesis with Action GraphsCode1
ControlLLM: Augment Language Models with Tools by Searching on GraphsCode1
LLMs can ScheduleCode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning ApproachCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep LearningCode1
Differentiable Combinatorial Scheduling at ScaleCode1
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional PipelinesCode1
Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-OptimizationCode1
A Fully Adaptive DRO Multistage Framework Based on MDR for Generation Scheduling under UncertaintyCode1
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution DetectionCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
All is Not Lost: LLM Recovery without CheckpointsCode1
Clockwork Convnets for Video Semantic SegmentationCode1
Multi-objective Deep Reinforcement Learning for Mobile Edge ComputingCode1
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU DatacentersCode1
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental PlatformsCode1
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge NetworksCode1
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