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

Showing 46264650 of 4891 papers

TitleStatusHype
Discriminative Transfer Learning for General Image Restoration0
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments0
Inference of epidemiological parameters from household stratified data0
Efficient PAC Learning from the Crowd0
Effects of Reactive Social Distancing on the 1918 Influenza Pandemic0
Continual Learning Through Synaptic IntelligenceCode0
Arbitrary-Oriented Scene Text Detection via Rotation ProposalsCode0
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization0
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling0
Finding Statistically Significant Interactions between Continuous Features0
Selective Video Object Cutout0
Speckle Reduction with Trained Nonlinear Diffusion Filtering0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network0
Defect detection for patterned fabric images based on GHOG and low-rank decomposition0
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses0
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification0
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Multi-feature classifiers for burst detection in single EEG channels from preterm infants0
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection0
Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes0
Operationalizing Declarative and Procedural Knowledge: a Benchmark on Logic Programming Petri Nets (LPPNs)0
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery0
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts LayerCode2
A Spatial Interpolation Framework for Efficient Valuation of Large Portfolios of Variable Annuities0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified