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Showing 2976–3000 of 3104 papers
Title
Date
Tasks
Status
Hype
Score
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing
Feb 12, 2024
Bayesian Inference
Federated Learning
—
Unverified
0
0
Bayesian Optimization with Dimension Scheduling: Application to Biological Systems
Nov 17, 2015
Bayesian Optimization
Scheduling
—
Unverified
0
0
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics
Feb 22, 2021
Decision Making
Scheduling
—
Unverified
0
0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization
Feb 14, 2023
Boundary Detection
Management
—
Unverified
0
0
BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms
May 1, 2023
Deep Reinforcement Learning
Scheduling
—
Unverified
0
0
Beam Profiling and Beamforming Modeling for mmWave NextG Networks
Aug 23, 2024
Scheduling
—
Unverified
0
0
BEAMWAVE: Cross-Layer Beamforming and Scheduling for Superimposed Transmissions in Industrial IoT mmWave Networks
Aug 9, 2021
Scheduling
—
Unverified
0
0
Benchmarking Agility and Reconfigurability in Satellite Systems for Tropical Cyclone Monitoring
Nov 27, 2024
Benchmarking
Earth Observation
—
Unverified
0
0
Better Predict the Dynamic of Geometry of In-Pit Stockpiles Using Geospatial Data and Polygon Models
Feb 24, 2023
Scheduling
—
Unverified
0
0
Better Rates for Private Linear Regression in the Proportional Regime via Aggressive Clipping
May 22, 2025
Scheduling
—
Unverified
0
0
Better Schedules for Low Precision Training of Deep Neural Networks
Mar 4, 2024
Node Classification
Quantization
—
Unverified
0
0
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling
May 1, 2021
reinforcement-learning
Reinforcement Learning (RL)
—
Unverified
0
0
Betting vs. Trading: Learning a Linear Decision Policy for Selling Wind Power and Hydrogen
Dec 24, 2024
Management
Scheduling
—
Unverified
0
0
Beyond Suspension: A Two-phase Methodology for Concluding Sports Leagues
Mar 29, 2024
Scheduling
Stochastic Optimization
—
Unverified
0
0
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Apr 22, 2024
Edge-computing
Reinforcement Learning (RL)
—
Unverified
0
0
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling
Jun 11, 2024
Deep Reinforcement Learning
Job Shop Scheduling
—
Unverified
0
0
Bias correction of wind power forecasts with SCADA data and continuous learning
Feb 21, 2024
energy trading
Scheduling
—
Unverified
0
0
Biased Random-Key Genetic Algorithms: A Review
Dec 1, 2023
Combinatorial Optimization
Diversity
—
Unverified
0
0
Bidding and Scheduling in Energy Markets: Which Probabilistic Forecast Do We Need?
Mar 24, 2022
Scheduling
—
Unverified
0
0
Bilateral Denoising Diffusion Models
Aug 26, 2021
Denoising
Scheduling
—
Unverified
0
0
Bilevel Learning Model Towards Industrial Scheduling
Aug 10, 2020
Deep Reinforcement Learning
model
—
Unverified
0
0
Bilevel optimisation with embedded neural networks: Application to scheduling and control integration
Apr 21, 2023
Scheduling
—
Unverified
0
0
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge
Dec 25, 2023
Fairness
GPU
—
Unverified
0
0
BitParticle: Partializing Sparse Dual-Factors to Build Quasi-Synchronizing MAC Arrays for Energy-efficient DNNs
Jul 13, 2025
Scheduling
—
Unverified
0
0
Blind System Identification in Linear Parameter-Varying Systems
Dec 28, 2023
Scheduling
—
Unverified
0
0
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