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 851–860 of 4891 papers

TitleStatusHype
Applications of Knowledge Distillation in Remote Sensing: A Survey—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
Contract-based hierarchical control using predictive feasibility value functions—0
Coordination of OLTC and Smart Inverters for Optimal Voltage Regulation of Unbalanced Distribution Networks—0
Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future—0
Appearance-based Gesture recognition in the compressed domain—0
Adversarial Imitation Learning via Random Search—0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation—0
A posteriori Trading-inspired Model-free Time Series Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified