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 3381–3390 of 4891 papers

TitleStatusHype
Softmax-free Linear TransformersCode2
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissueCode0
Location reference recognition from texts: A survey and comparison—0
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning—0
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization—0
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—0
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
On the Calculation of the Variance of Algebraic Variables in Power System Dynamic Models with Stochastic Processes—0
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)—0
Electronic-structure properties from atom-centered predictions of the electron densityCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified