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Showing 2376–2400 of 3104 papers

TitleStatusHype
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
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement LearningCode1
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms—0
Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problemsCode0
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning ApproachCode1
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
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems—0
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Modeling Human Temporal Uncertainty in Human-Agent Teams—0
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable SurrogatesCode1
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
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