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 3131–3140 of 4891 papers

TitleStatusHype
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation—0
Kinematics and Dynamics Modeling of 7 Degrees of Freedom Human Lower Limb Using Dual Quaternions Algebra—0
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshotsCode0
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency—0
A comparative study of human inverse kinematics techniques for lower limbs—0
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator—0
Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems—0
A Novel Noise Injection-based Training Scheme for Better Model Robustness—0
Creating generalizable downstream graph models with random projections—0
Local Causal Discovery for Estimating Causal EffectsCode1
Show:102550
← PrevPage 314 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified