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 3551–3560 of 4891 papers

TitleStatusHype
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications—0
An Interface Method for Co-simulation of EMT Model and Shifted Frequency EMT Model Based on Rotational Invariance Techniques—0
An MRC Framework for Semantic Role Labeling—0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
Anomaly Detection with Tensor Networks—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method—0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution—0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified