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 1776–1800 of 4891 papers

TitleStatusHype
Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes—0
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders—0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch—0
Extracting man-made objects from remote sensing images via fast level set evolutions—0
Extracting Optimal Solution Manifolds using Constrained Neural Optimization—0
Extreme Value k-means Clustering—0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
A machine learning framework for data driven acceleration of computations of differential equations—0
Discriminative Transfer Learning for General Image Restoration—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Discriminative Shape From Shading in Uncalibrated Illumination—0
Discriminative Optimization: Theory and Applications to Point Cloud Registration—0
Cognitive maps are generative programs—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Few-Shot Data-Driven Algorithms for Low Rank Approximation—0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Fall Detection for Industrial Setups Using YOLOv8 Variants—0
Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation—0
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified