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 391–400 of 4891 papers

TitleStatusHype
DLCM: a versatile multi-level solver for heterogeneous multicellular systems—0
GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest—0
A Hybrid Mixture of t-Factor Analyzers for Clustering High-dimensional Data—0
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR—0
Cognitive maps are generative programs—0
Geometry-Informed Neural Operator TransformerCode1
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters—0
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression—0
Towards Practical Second-Order Optimizers in Deep Learning: Insights from Fisher Information AnalysisCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified