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 3531–3540 of 4891 papers

TitleStatusHype
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified