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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4281–4290 of 4891 papers

TitleStatusHype
Augmented Memory for Correlation Filters in Real-Time UAV TrackingCode0
Sparse Canonical Correlation Analysis via Concave Minimization—0
BAFFLE : Blockchain Based Aggregator Free Federated LearningCode0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Street Crossing Aid Using Light-weight CNNs for the Visually ImpairedCode0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution PredictionCode0
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow—0
Implicit Regularization for Optimal Sparse RecoveryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified