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Showing 176–200 of 3104 papers

TitleStatusHype
Self-Nomination: Deep Learning for Decentralized CSI Feedback Reduction in MU-MIMO Systems—0
Approximating Optimal Labelings for Temporal Connectivity—0
Comparative Analysis of Evolutionary Algorithms for Energy-Aware Production Scheduling—0
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination—0
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation—0
Splitwiser: Efficient LM inference with constrained resourcesCode0
Fuzzy Logic -- Based Scheduling System for Part-Time Workforce—0
LithOS: An Operating System for Efficient Machine Learning on GPUs—0
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling—0
Is Intelligence the Right Direction in New OS Scheduling for Multiple Resources in Cloud Environments?—0
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities—0
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs—0
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks—0
Optimal Scheduling of Dynamic Transport—0
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline—0
High-Throughput LLM inference on Heterogeneous Clusters—0
PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting—0
Entropic Time Schedulers for Generative Diffusion Models—0
D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving—0
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node—0
Predictive Multiplicity in Survival Models: A Method for Quantifying Model Uncertainty in Predictive Maintenance Applications—0
Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning—0
PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling—0
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization ProblemsCode0
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory ConstraintsCode4
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