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 321–330 of 4891 papers

TitleStatusHype
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Adaptive Focus for Efficient Video RecognitionCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical SolverCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified