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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 2641–2650 of 4891 papers

TitleStatusHype
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint PredictionCode1
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization—0
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment—0
Solving High Frequency and Multi-Scale PDEs with Gaussian ProcessesCode1
High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall DataCode0
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character DecompositionCode0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO—0
Leveraging point annotations in segmentation learning with boundary loss—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified