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 2901–2910 of 4891 papers

TitleStatusHype
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning—0
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction—0
Study of Frequency domain exponential functional link network filters—0
Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation—0
Style Transfer: From Stitching to Neural Networks—0
Sub-Sampled Newton Methods II: Local Convergence Rates—0
Subspace Hybrid MVDR Beamforming for Augmented Hearing—0
Successive Jump and Mode Decomposition—0
Successive Ray Refinement and Its Application to Coordinate Descent for LASSO—0
Successor Features for Efficient Multisubject Controlled Text Generation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified