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 46764700 of 4891 papers

TitleStatusHype
Discovering and Deciphering Relationships Across Disparate Data ModalitiesCode0
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis0
hi-RF: Incremental Learning Random Forest for large-scale multi-class Data Classification0
Reconstructing Neural Parameters and Synapses of arbitrary interconnected Neurons from their Simulated Spiking Activity0
The Symmetry of a Simple Optimization Problem in Lasso Screening0
A Shallow High-Order Parametric Approach to Data Visualization and Compression0
Deep FisherNet for Object Classification0
Online Nonnegative Matrix Factorization with General Divergences0
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams0
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation0
Inference of Haemoglobin Concentration From Stereo RGB0
Whole-brain substitute CT generation using Markov random field mixture models0
Large-Scale Kernel Methods for Independence TestingCode0
Saliency Driven Object recognition in egocentric videos with deep CNN0
Fast and Extensible Online Multivariate Kernel Density Estimation0
Property-driven State-Space Coarsening for Continuous Time Markov Chains0
Volumetric 3D Tracking by Detection0
Structural Correlation Filter for Robust Visual Tracking0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis0
The use of deep learning in image segmentation, classification and detection0
Communication-Efficient Distributed Statistical Inference0
The constrained Dantzig selector with enhanced consistency0
Distributed Flexible Nonlinear Tensor Factorization0
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms0
Online Human Action Detection using Joint Classification-Regression Recurrent Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified