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 3361–3370 of 4891 papers

TitleStatusHype
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers—0
Generalized Analysis and Unified Design of EM Skins—0
SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image EnhancementCode1
BIP: Boost Invariant Polynomials for Efficient Jet TaggingCode0
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection—0
Multiscale Causal Structure Learning—0
Action Recognition With Motion Diversification and Dynamic Selection—0
STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observabilityCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified