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 2731–2740 of 4891 papers

TitleStatusHype
SeTformer is What You Need for Vision and Language—0
SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
SF^2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida—0
SGMM: Stochastic Approximation to Generalized Method of Moments—0
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians—0
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification—0
Shallow Signed Distance Functions for Kinematic Collision Bodies—0
Shapley Value Methods for Attribution Modeling in Online Advertising—0
Shortcut Matrix Product States and its applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified