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 611–620 of 4891 papers

TitleStatusHype
STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observabilityCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
PointNorm: Dual Normalization is All You Need for Point Cloud AnalysisCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Learning Ego 3D Representation as Ray TracingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified