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Scheduling

Project or Job Scheduling

Papers

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Showing 351–400 of 3104 papers

TitleStatusHype
Learning Scheduling Algorithms for Data Processing ClustersCode0
Scheduling Jobs with Stochastic Holding CostsCode0
Learning Data Augmentation Schedules for Natural Language ProcessingCode0
Learning a Reward Function for User-Preferred Appliance SchedulingCode0
Learning From Scenarios for Stochastic Repairable SchedulingCode0
L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene DeliveryCode0
Layer-compensated Pruning for Resource-constrained Convolutional Neural NetworksCode0
Learning Gradient Descent: Better Generalization and Longer HorizonsCode0
Learning to Schedule Communication in Multi-agent Reinforcement LearningCode0
Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless NetworksCode0
Monge-Kantorovich Optimal Transport Through Constrictions and Flow-rate ConstraintsCode0
InterQ: A DQN Framework for Optimal Intermittent ControlCode0
Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoTCode0
Imitating Cost-Constrained Behaviors in Reinforcement LearningCode0
Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient DescentCode0
How Does Data Freshness Affect Real-time Supervised Learning?Code0
Heterogeneous CPU+GPU Stochastic Gradient Descent AlgorithmsCode0
Mobility Offer Allocations in Corporate SettingsCode0
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal PredictionCode0
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA DevicesCode0
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization ProblemsCode0
GradViT: Gradient Inversion of Vision TransformersCode0
Application Performance Modeling via Tensor CompletionCode0
Gradient-based Discrete Sampling with Automatic Cyclical SchedulingCode0
Graph Coloring Using Heat DiffusionCode0
Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling ProblemCode0
Genetic Algorithm with Innovative Chromosome Patterns in the Breeding ProcessCode0
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear RecirculationCode0
To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-DimensionsCode0
Graph Embedding based Wireless Link Scheduling with Few Training SamplesCode0
Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering ProblemCode0
From Dense to Sparse: Event Response for Enhanced Residential Load ForecastingCode0
A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modellingCode0
Fully Distributed Online Training of Graph Neural Networks in Networked SystemsCode0
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log dataCode0
A biased random-key genetic algorithm for the home health care problemCode0
Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex NetworksCode0
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network InferenceCode0
Learning by Playing - Solving Sparse Reward Tasks from ScratchCode0
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule PropagationCode0
Graph Federated Learning for CIoT Devices in Smart Home ApplicationsCode0
KernelOracle: Predicting the Linux Scheduler's Next Move with Deep LearningCode0
A Hybrid Bacterial Foraging Algorithm For Solving Job Shop Scheduling ProblemsCode0
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless NetworksCode0
Fast Variational Block-Sparse Bayesian LearningCode0
Federated Control with Hierarchical Multi-Agent Deep Reinforcement LearningCode0
Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problemsCode0
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU KernelsCode0
Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network AcceleratorsCode0
ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural NetworksCode0
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