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 3971–3980 of 4891 papers

TitleStatusHype
Just Functioning as a Hook for Two-Stage Referring Multi-Object Tracking—0
CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs—0
C-Procgen: Empowering Procgen with Controllable Contexts—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks—0
CR-CTC: Consistency regularization on CTC for improved speech recognition—0
CRD: Collaborative Representation Distance for Practical Anomaly Detection—0
Creating generalizable downstream graph models with random projections—0
Credit Valuation Adjustment with Replacement Closeout: Theory and Algorithms—0
CrevNet: Conditionally Reversible Video Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified