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Showing 1126–1150 of 3104 papers

TitleStatusHype
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems—0
Building Better Nurse Scheduling Algorithms—0
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning—0
Enhancing Diffusion Models for High-Quality Image Generation—0
Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization—0
Enhancing Microgrid Resilience with Green Hydrogen Storage—0
Effects of Safety State Augmentation on Safe Exploration—0
Enhancing Traffic Prediction with Textual Data Using Large Language Models—0
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling—0
Enhance Low-Carbon Power System Operation via Carbon-Aware Demand Response—0
Ensuring Fair LLM Serving Amid Diverse Applications—0
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System—0
Entropic Time Schedulers for Generative Diffusion Models—0
Entropy Regularization for Mean Field Games with Learning—0
Environment-Aware Scheduling of URLLC and Sensing Services for Smart Industries—0
Building a Truly Distributed Constraint Solver with JADE—0
Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?—0
A New Approach for Resource Scheduling with Deep Reinforcement Learning—0
EquiBench: Benchmarking Large Language Models' Understanding of Program Semantics via Equivalence Checking—0
Equitable 6G Access Service via Cloud-Enabled HAPS for Optimizing Hybrid Air-Ground Networks—0
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning—0
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization—0
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G—0
ESOD:Edge-based Task Scheduling for Object Detection—0
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators—0
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