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 1061–1070 of 4891 papers

TitleStatusHype
Sparse L0-norm based Kernel-free Quadratic Surface Support Vector MachinesCode0
A Survey on Diffusion Models for Anomaly DetectionCode2
A Survey of World Models for Autonomous DrivingCode1
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
BOOST: Microgrid Sizing using Ordinal Optimization—0
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
Computational Discovery of Chiasmus in Ancient Religious TextCode0
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024—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