SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 3641–3650 of 4891 papers

TitleStatusHype
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty—0
A Spatial Interpolation Framework for Efficient Valuation of Large Portfolios of Variable Annuities—0
A Spatio-temporal Decomposition Method for the Coordinated Economic Dispatch of Integrated Transmission and Distribution Grids—0
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning—0
Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities—0
A Statistical Learning Approach to Reactive Power Control in Distribution Systems—0
A Statistical Perspective on Algorithmic Leveraging—0
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control—0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
A study on the efficacy of model pre-training in developing neural text-to-speech system—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified