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

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Showing 1811–1820 of 4891 papers

TitleStatusHype
A comparative study of human inverse kinematics techniques for lower limbs—0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
Combinatorial Attacks on Binarized Neural Networks—0
Fast and Interpretable Consensus Clustering via Minipatch Learning—0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching—0
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis—0
Fast and Flexible Image Blind Denoising via Competition of Experts—0
Fast and Extensible Online Multivariate Kernel Density Estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified