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Showing 426–450 of 3104 papers

TitleStatusHype
FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors—0
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training—0
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
Efficiently Serving LLM Reasoning Programs with CertaindexCode3
A Survey on Large Language Model Acceleration based on KV Cache ManagementCode3
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility—0
Movable Intelligent Surface (MIS) for Wireless Communications: Architecture, Modeling, Algorithm, and Prototyping—0
Betting vs. Trading: Learning a Linear Decision Policy for Selling Wind Power and Hydrogen—0
Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify Scheduling on Efficient Meta-kernels—0
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge NetworksCode1
The behavioral approach for LPV data-driven representations—0
TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications—0
Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer ProgramsCode0
Brain-to-Text Benchmark '24: Lessons LearnedCode1
Dynamic Scheduling Strategies for Resource Optimization in Computing Environments—0
Power- and Fragmentation-aware Online Scheduling for GPU DatacentersCode0
Multi Agent Reinforcement Learning for Sequential Satellite Assignment ProblemsCode1
An Age of Information Characterization of SPS for V2X Applications—0
Enhancing Diffusion Models for High-Quality Image Generation—0
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling ProblemsCode1
Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission—0
TrainMover: An Interruption-Resilient and Reliable ML Training Runtime—0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
Explicit and Implicit Graduated Optimization in Deep Neural NetworksCode0
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