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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 231–240 of 4891 papers

TitleStatusHype
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp SegmentationCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified