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 3181–3190 of 4891 papers

TitleStatusHype
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones—0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models—0
US \& MRI Image Fusion Based on Markerless Skin Registration—0
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization—0
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues—0
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis—0
ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats—0
Saliency strikes back: How filtering out high frequencies improves white-box explanations—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified