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 2741–2750 of 4891 papers

TitleStatusHype
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction—0
Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network—0
Shrinkage Fields for Effective Image Restoration—0
Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression—0
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm—0
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment—0
Similarity Search for Efficient Active Learning and Search of Rare Concepts—0
Simple and Effective Specialized Representations for Fair Classifiers—0
Simple is better: Making Decision Trees faster using random sampling—0
Simple, Robust and Optimal Ranking from Pairwise Comparisons—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified