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 2176–2200 of 4891 papers

TitleStatusHype
Hybrid Polynomial Zonotopes: A Set Representation for Reachability Analysis in Hybrid Nonaffine Systems—0
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes—0
A Kernelization-Based Approach to Nonparametric Binary Choice Models—0
Deep Plug-and-Play HIO Approach for Phase Retrieval—0
Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems—0
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks—0
Selectively Linearized Neural Network based RoCoF-Constrained Unit Commitment in Low-Inertia Power Systems—0
Hybrid Real- and Complex-valued Neural Network Architecture—0
Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs—0
Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect—0
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows—0
A Time Splitting Based Optimization Method for Nonlinear MHE—0
Active Learning with Tabular Language Models—0
Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach—0
Deep Neural Network Initialization with Sparsity Inducing Activations—0
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features—0
A Tiered GAN Approach for Monet-Style Image Generation—0
Deep Morphological Neural Networks—0
A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network—0
Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features—0
Hybrid Deep Learning for Legal Text Analysis: Predicting Punishment Durations in Indonesian Court Rulings—0
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach—0
Deep learning, stochastic gradient descent and diffusion maps—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified