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Scheduling

Project or Job Scheduling

Papers

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Showing 351–400 of 3104 papers

TitleStatusHype
Deep learning for predicting hauling fleet production capacity under uncertainties in open pit mines using real and simulated data—0
Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response—0
Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training—0
ADFormer: Aggregation Differential Transformer for Passenger Demand ForecastingCode0
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling—0
Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks—0
Unit Commitment with Cost-Oriented Temporal Resolution—0
A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers—0
Enabling Scalable Distributed Beamforming via Networked LEO Satellites Towards 6G—0
Prediction of the Conditional Probability Densities of Time Interval Extrema with Application to Risk-Sensitive Scheduling—0
A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems—0
TIP-Search: Time-Predictable Inference Scheduling for Market Prediction under Uncertain LoadCode0
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters—0
CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection—0
Maximum Likelihood Learning of Latent Dynamics Without Reconstruction—0
DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs—0
Optimizing Connectivity and Scheduling of Near/Far Field Users in Massive MIMO NOMA System—0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference—0
Sentinel: Scheduling Live Streams with Proactive Anomaly Detection in Crowdsourced Cloud-Edge Platforms—0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI—0
Scheduling with Uncertain Holding Costs and its Application to Content Moderation—0
Dynamic Resource Allocation in Distributed MIMO-LEO Satellite Networks—0
InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling—0
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling—0
Adaptive Diffusion Guidance via Stochastic Optimal Control—0
Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing—0
PD^3F: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models—0
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective—0
InspectionV3: Enhancing Tobacco Quality Assessment with Deep Convolutional Neural Networks for Automated Workshop Management—0
Better Rates for Private Linear Regression in the Proportional Regime via Aggressive Clipping—0
Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems—0
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning—0
Control of Renewable Energy Communities using AI and Real-World Data—0
CASTILLO: Characterizing Response Length Distributions of Large Language ModelsCode0
Learning Flexible Forward Trajectories for Masked Molecular Diffusion—0
KernelOracle: Predicting the Linux Scheduler's Next Move with Deep LearningCode0
On the Relevance of Clinical Assessment Tasks for the Automatic Detection of Parkinson's Disease Medication State from Speech—0
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency—0
Scheduling of Flexible Manufacturing Systems Based on Place-Timed Petri Nets and Basis Reachability Graphs—0
Natural Language Planning via Coding and Inference ScalingCode0
RIFLES: Resource-effIcient Federated LEarning via Scheduling—0
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
Learning in Chaos: Efficient Autoscaling and Self-healing for Distributed Training at the Edge—0
ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning—0
UAV-Enabled Joint Sensing, Communication, Powering and Backhaul Transmission in Maritime Monitoring Networks—0
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets—0
SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs—0
Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning—0
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