SOTAVerified

Scheduling

Project or Job Scheduling

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2401–2450 of 3104 papers

TitleStatusHype
To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints—0
Automated Large-scale Class Scheduling in MiniZincCode0
A Secure Distributed Ledger for Transactive Energy: The Electron Volt Exchange (EVE) Blockchain—0
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking—0
A Knowledge Representation Approach to Automated Mathematical Modelling—0
SALR: Sharpness-aware Learning Rate Scheduler for Improved Generalization—0
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems—0
Reinforcement Learning for Assignment problem—0
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning—0
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation—0
Scheduling Real-time Deep Learning Services as Imprecise Computations—0
Joint Transceiver Design Based on Dictionary Learning Algorithm for SCMA—0
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters—0
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling—0
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference—0
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction—0
Abstracting the Traffic of Nonlinear Event-Triggered Control Systems—0
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem—0
Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problemsCode0
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms—0
A Particle Swarm Inspired Approach for Continuous Distributed Constraint Optimization Problems—0
Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks—0
GalaxyTSP: A New Billion-Node Benchmark for TSP—0
Minimizing Pumping Energy Cost in Real-time Operations of Water Distribution Systems using Economic Model Predictive Control—0
Online Learning with Vector Costs and Bandits with Knapsacks—0
Applying Graph-based Deep Learning To Realistic Network Scenarios—0
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks—0
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Modeling Human Temporal Uncertainty in Human-Agent Teams—0
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks—0
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network—0
Entropy Regularization for Mean Field Games with Learning—0
Two-Hop Multi-UAV Relay Network Optimization with Directional Antennas—0
Data augmentation as stochastic optimization—0
A spatial algorithm for the analysis of transportation systems using statistical model checking—0
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation—0
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning—0
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer—0
Optimal Minimax Mobile Sensor Scheduling Over a Network—0
The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach—0
Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance—0
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback—0
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks—0
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
Distributed Density Filtering for Large-Scale Systems Using Mean-Filed Models—0
A Markov Decision Process Approach to Active Meta Learning—0
Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning—0
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima—0
Show:102550
← PrevPage 49 of 63Next →

No leaderboard results yet.