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Found 3 papers, 1 papers with code
Effectiveness of Function Matching in Driving Scene Recognition
Knowledge distillation is an effective approach for training compact recognizers required in autonomous driving.
Feature Space Particle Inference for Neural Network Ensembles
Ensembles of deep neural networks demonstrate improved performance over single models.
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features
To address this problem, sketching and stochastic gradient methods are the most commonly used techniques to derive efficient large-scale learning algorithms.
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