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 3751–3760 of 4891 papers

TitleStatusHype
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
Benchmarking Large Language Models with Integer Sequence Generation Tasks—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam—0
Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep—0
Benchmarking the human brain against computational architectures—0
Benchmarking Video Frame Interpolation—0
Best Arm Identification in Stochastic Bandits: Beyond β-optimality—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified