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 4051–4060 of 4891 papers

TitleStatusHype
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface—0
Sparse Gaussian Process Variational AutoencodersCode0
CIMON: Towards High-quality Hash Codes—0
Multi-Agent Motion Planning using Deep Learning for Space Applications—0
Graph Deep Factors for Forecasting—0
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank EstimationCode0
Sample and Computationally Efficient Stochastic Kriging in High Dimensions—0
How important are faces for person re-identification?—0
Towards human-level performance on automatic pose estimation of infant spontaneous movements—0
Mining Truck Platooning Patterns Through Massive Trajectory Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified