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Found 3 papers, 2 papers with code
State-Free Inference of State-Space Models: The Transfer Function Approach
We approach designing a state-space model for deep learning applications through its dual representation, the transfer function, and uncover a highly efficient sequence parallel inference algorithm that is state-free: unlike other proposed algorithms, state-free inference does not incur any significant memory or computational cost with an increase in state size.
Multi-Stage Contrastive Regression for Action Quality Assessment
In recent years, there has been growing interest in the video-based action quality assessment (AQA).
Enhancement of Healthcare Data Performance Metrics using Neural Network Machine Learning Algorithms
The result showed that the Levenbery-Marquardt algorithm was the best performer with an efficiency of 3. 33 and accuracy of 79. 17%, which is similar to other algorithms accuracy but demonstrates improved efficiency.
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