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 4471–4480 of 4891 papers

TitleStatusHype
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified