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 891–900 of 4891 papers

TitleStatusHype
Rethinking Range-View LiDAR Segmentation in Adverse Weather—0
HabSim: Architecture for modelling disruptions, propagation, detection and repair in deep space habitats—0
Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance—0
Offline RL with Smooth OOD Generalization in Convex Hull and its NeighborhoodCode0
Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes—0
Local MDI+: Local Feature Importances for Tree-Based Models—0
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)Code0
sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation—0
TS-PIELM: Time-Stepping Physics-Informed Extreme Learning Machine Facilitates Soil Consolidation Analyses—0
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified