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Scheduling

Project or Job Scheduling

Papers

Showing 30513075 of 3104 papers

TitleStatusHype
CNN-Enabled Scheduling for Probabilistic Real-Time Guarantees in Industrial URLLC0
CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis0
Coalition-based Planning of Military Operations: Adversarial Reasoning Algorithms in an Integrated Decision Aid0
Coarse-to-Fine Curriculum Learning0
Co-channel Interference Management for the Next-Generation Heterogeneous Networks using Deep Leaning0
Code Retrieval for MILP Instance Generation0
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment0
Co-Design of Sensing, Communications, and Control for Low-Altitude Wireless Networks0
Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses0
Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE0
Collaborative Evolving Strategy for Automatic Data-Centric Development0
Collaborative Inter-Terminal Transportation of Containers0
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning0
Collaborative Pure Exploration in Kernel Bandit0
Collaborative Speculative Inference for Efficient LLM Inference Serving0
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems0
Collective discrete optimisation as judgment aggregation0
Combinatorial Optimization via LLM-driven Iterated Fine-tuning0
Combinatorial Reinforcement Learning Based Scheduling for DNN Execution on Edge0
Combined Scheduling, Memory Allocation and Tensor Replacement for Minimizing Off-Chip Data Accesses of DNN Accelerators0
Combining Drift Analysis and Generalized Schema Theory to Design Efficient Hybrid and/or Mixed Strategy EAs0
Combining Monte-Carlo and Hyper-heuristic methods for the Multi-mode Resource-constrained Multi-project Scheduling Problem0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation0
COMET: Towards Partical W4A4KV4 LLMs Serving0
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs0
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