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 2876–2900 of 4891 papers

TitleStatusHype
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
Variational Autoencoding of Dental Point CloudsCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats—0
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis—0
Saliency strikes back: How filtering out high frequencies improves white-box explanations—0
Flow Matching in Latent SpaceCode2
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
On the Effective Horizon of Inverse Reinforcement Learning—0
YOLIC: An Efficient Method for Object Localization and Classification on Edge DevicesCode0
TinyMetaFed: Efficient Federated Meta-Learning for TinyML—0
FDAPT: Federated Domain-adaptive Pre-training for Language ModelsCode0
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression—0
Operational Support Estimator NetworksCode0
Predicting small molecules solubilities on endpoint devices using deep ensemble neural networksCode1
Metropolis Sampling for Constrained Diffusion Models—0
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications—0
Differentiable Turbulence: Closure as a partial differential equation constrained optimization—0
Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear Medicine—0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
Remote Sensing Image Change Detection with Graph InteractionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified