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 3951–3960 of 4891 papers

TitleStatusHype
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors—0
Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing ImagesCode1
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications—0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval—0
Multi-Features Guidance Network for partial-to-partial point cloud registrationCode1
Augmented Lagrangian Adversarial AttacksCode1
RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Switching Device-Cognizant Sequential Distribution System Restoration—0
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified