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Showing 1776–1800 of 3104 papers

TitleStatusHype
Optimizing the Learning Order of Chinese Characters Using a Novel Topological Sort Algorithm—0
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for Pushing and Grasping—0
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation—0
OrcaLoca: An LLM Agent Framework for Software Issue Localization—0
OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN—0
Orchestrating UAVs for Prioritized Data Harvesting: A Cross-Layer Optimization Perspective—0
Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art—0
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices—0
Organising a Successful AI Online Conference: Lessons from SoCS 2020—0
Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Environmental Effects, and 90% Coverage—0
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling—0
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning—0
Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium—0
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks—0
Over-the-Air Federated Averaging with Limited Power and Privacy Budgets—0
Packetized Energy Management Controller for Residential Consumers—0
PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System—0
Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming—0
Parallel machine scheduling with step deteriorating jobs and setup times by a hybrid discrete cuckoo search algorithm—0
Parallel processor scheduling: formulation as multi-objective linguistic optimization and solution using Perceptual Reasoning based methodology—0
Parallel Scheduling Self-attention Mechanism: Generalization and Optimization—0
Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate—0
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP—0
PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers—0
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference—0
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