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 2381–2390 of 4891 papers

TitleStatusHype
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems—0
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability—0
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation—0
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual AnalyticsCode0
Fall Detection for Industrial Setups Using YOLOv8 Variants—0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling—0
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8—0
Retrieval Augmentation via User Interest Clustering—0
Robust Estimation of Regression Models with Potentially Endogenous Outliers via a Modern Optimization Lens—0
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified