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 4476–4500 of 4891 papers

TitleStatusHype
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