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 1701–1710 of 4891 papers

TitleStatusHype
Sparse L0-norm based Kernel-free Quadratic Surface Support Vector MachinesCode0
Leveraging GANs For Active Appearance Models Optimized Model Fitting—0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
Computational Discovery of Chiasmus in Ancient Religious TextCode0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression—0
BOOST: Microgrid Sizing using Ordinal Optimization—0
Which price to pay? Auto-tuning building MPC controller for optimal economic cost—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified