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 3526–3550 of 4891 papers

TitleStatusHype
An Enhanced Low-Resolution Image Recognition Method for Traffic Environments—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization—0
A Neural Network Subgrid Model of the Early Stages of Planet Formation—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION—0
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components—0
A New Parallel Adaptive Clustering and its Application to Streaming Data—0
A New Proof for the Linear Filtering and Smoothing Equations, and Asymptotic Expansion of Nonlinear Filtering—0
A new robust feature selection method using variance-based sensitivity analysis—0
A New Statistical Framework for Genetic Pleiotropic Analysis of High Dimensional Phenotype Data—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems—0
An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing—0
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs—0
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes—0
Anharmonic Raman spectra simulation of crystals from deep neural networks—0
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms—0
An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian—0
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration—0
An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration—0
An Initial Seed Selection Algorithm for K-means Clustering of Georeferenced Data to Improve Replicability of Cluster Assignments for Mapping Application—0
An Innovative Networks in Federated Learning—0
An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance—0
An Integer Polynomial Programming Based Framework for Lifted MAP Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified