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 4071–4080 of 4891 papers

TitleStatusHype
Deep Unsupervised Hashing by Distilled Smooth Guidance—0
Deep Video Demoireing via Compact Invertible Dyadic Decomposition—0
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions—0
Deep vs. Diverse Architectures for Classification Problems—0
Defect detection for patterned fabric images based on GHOG and low-rank decomposition—0
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing—0
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection—0
DefMamba: Deformable Visual State Space Model—0
Deformable Capsules for Object Detection—0
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified