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 4451–4500 of 4891 papers

TitleStatusHype
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations—0
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface—0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study—0
Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning Tasks—0
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction—0
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR—0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
Exploring Brain Network Organization in Alzheimer Disease and Frontotemporal Dementia: A Crossplot Transition Entropy Approach—0
Exploring Patterns Behind Sports—0
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping—0
Exploring Tokenization Methods for Multitrack Sheet Music Generation—0
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance—0
Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes—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
Extrinsic Fluctuations in the p53 Cycle—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections—0
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections—0
Fall Detection for Industrial Setups Using YOLOv8 Variants—0
Fast Algorithms for Quantile Regression with Selection—0
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback—0
Fast and Accurate Image Upscaling With Super-Resolution Forests—0
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion—0
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation—0
Fast and Accurate Surface Normal Integration on Non-Rectangular Domains—0
Fast and efficient speech enhancement with variational autoencoders—0
Fast and Extensible Online Multivariate Kernel Density Estimation—0
Fast and Flexible Image Blind Denoising via Competition of Experts—0
Fast and Interpretable Consensus Clustering via Minipatch Learning—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML—0
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models—0
Fast Barrier Option Pricing by the COS BEM Method in Heston Model—0
Fast and Blind Speech Copy-Move Detection and Localization in Noise—0
Fast clustering for scalable statistical analysis on structured images—0
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers—0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified