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

Showing 11011125 of 4891 papers

TitleStatusHype
Certifiably Robust Interpretation via Renyi Differential Privacy0
Cerebral cortical communication overshadows computational energy-use, but these combine to predict synapse number0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis0
Joint Location and Velocity Estimation and Fundamental CRLB Analysis for Cell-Free MIMO-ISAC0
A New Statistical Framework for Genetic Pleiotropic Analysis of High Dimensional Phenotype Data0
Accurate Hand Keypoint Localization on Mobile Devices0
Diffusion Models in 3D Vision: A Survey0
CD-ROM: Complemented Deep-Reduced Order Model0
CCSNet: a deep learning modeling suite for CO_2 storage0
A new robust feature selection method using variance-based sensitivity analysis0
A New Proof for the Linear Filtering and Smoothing Equations, and Asymptotic Expansion of Nonlinear Filtering0
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model0
A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations0
Accurate and scalable exchange-correlation with deep learning0
CausalX: Causal Explanations and Block Multilinear Factor Analysis0
A New Parallel Adaptive Clustering and its Application to Streaming Data0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction0
Causal Generative Domain Adaptation Networks0
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components0
A Deeper Look at 3D Shape Classifiers0
Diffusion Models for High-Resolution Solar Forecasts0
Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform0
Discriminative Optimization: Theory and Applications to Point Cloud Registration0
A deep convolutional neural network model for rapid prediction of fluvial flood inundation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified