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 4491–4500 of 4891 papers

TitleStatusHype
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML—0
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models—0
Fast Barrier Option Pricing by the COS BEM Method in Heston Model—0
Fast and Blind Speech Copy-Move Detection and Localization in Noise—0
Fast clustering for scalable statistical analysis on structured images—0
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers—0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified