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 261–270 of 4891 papers

TitleStatusHype
FocusTrack: A Self-Adaptive Local Sampling Algorithm for Efficient Anti-UAV TrackingCode1
Mask Image WatermarkingCode1
Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative LearningCode1
Change State Space Models for Remote Sensing Change DetectionCode1
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT ImagesCode1
Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified