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 3311–3320 of 4891 papers

TitleStatusHype
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
A Simple Strategy to Provable Invariance via Orbit Mapping—0
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions—0
Neural Generalized Ordinary Differential Equations with Layer-varying ParametersCode0
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance—0
HiPart: Hierarchical Divisive Clustering ToolboxCode1
Random Fourier Features for Asymmetric Kernels—0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—0
Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology—0
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified