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 3831–3840 of 4891 papers

TitleStatusHype
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Parallel Model Exploration for Tumor Treatment SimulationsCode0
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX—0
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified