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 3861–3870 of 4891 papers

TitleStatusHype
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models—0
Cognitive maps are generative programs—0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems—0
Collaborative Group Learning—0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
Collaborative Learning with Different Labeling Functions—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching—0
Combinatorial Attacks on Binarized Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified