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

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Showing 2051–2060 of 4891 papers

TitleStatusHype
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping—0
An Initial Seed Selection Algorithm for K-means Clustering of Georeferenced Data to Improve Replicability of Cluster Assignments for Mapping Application—0
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks—0
Event-Stream Super Resolution using Sigma-Delta Neural Network—0
Event-Driven Receding Horizon Control for Distributed Estimation in Network Systems—0
An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration—0
Event-based update of synapses in voltage-based learning rules—0
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing—0
Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems—0
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified