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 2681–2690 of 4891 papers

TitleStatusHype
Scaling Laws for Sparsely-Connected Foundation Models—0
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation—0
Scatter-based common spatial patterns -- a unified spatial filtering framework—0
Scattering and Gathering for Spatially Varying Blurs—0
Scatter Matrix Concordance: A Diagnostic for Regressions on Subsets of Data—0
Schreier-Coset Graph Propagation—0
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR—0
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH)—0
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds—0
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified