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 2041–2050 of 4891 papers

TitleStatusHype
Exact Characterization of Aggregate Flexibility via Generalized Polymatroids—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
Fundamental Survey on Neuromorphic Based Audio Classification—0
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution—0
Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism—0
An Innovative Networks in Federated Learning—0
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization—0
Classification of Occluded Objects using Fast Recurrent Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified