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 1861–1870 of 4891 papers

TitleStatusHype
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion ModelsCode2
Single Image Dehazing Using Scene Depth Ordering—0
FuXi Weather: A data-to-forecast machine learning system for global weatherCode2
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems—0
PRTGaussian: Efficient Relighting Using 3D Gaussians with Precomputed Radiance TransferCode1
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
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified