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 1701–1710 of 4891 papers

TitleStatusHype
Approximate Steepest Coordinate Descent—0
Aeroengine performance prediction using a physical-embedded data-driven method—0
Approximate Model-Based Diagnosis Using Greedy Stochastic Search—0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning—0
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark—0
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation—0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—0
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods—0
Approximately Aligned Decoding—0
Computation of safe disturbance sets using implicit RPI sets—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified