Tag: Efficiency
All the articles with the tag "Efficiency".
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Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC
This paper introduces AEDGPR-MPC, a framework combining Model Predictive Control with Gaussian Process Regression and active exploration to correct vehicle model mismatches, achieving significant reductions in lateral error (up to 52.8% in simulation, 36.7% in RC car tests) and velocity tracking RMSE during extreme cornering drift control.
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CB-cPIR: Code-Based Computational Private Information Retrieval
CB-cPIR introduces a code-based single-server computational private information retrieval scheme that enhances security against subquery attacks by using high-weight secret vectors and dual queries, achieving lower communication and computational costs compared to lattice-based schemes like XPIR and SimplePIR.
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Test-time Correlation Alignment
本文提出测试时相关性对齐(TCA)范式,通过构建伪源域相关性并应用线性变换对齐测试数据特征,显著提升测试时适应(TTA)性能,同时保持高效性和源域知识。
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Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation
本文提出了一种动态整合框架,通过自适应选择网络和动态加权融合策略从多个LLM中聚合知识,显著提升性能并减少50%的知识干扰,同时保持计算效率。
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Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
本文提出测试时模型合并(TTMM)方法,通过在训练时预训练大量专家模型并在测试时动态合并参数,以几乎无测试时开销的方式逼近测试时训练(TTT)的语言建模性能。