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Found 3 papers, 0 papers with code
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation
The proposed algorithm directs the parameters of the compressed model toward a flatter solution by exploring the spectral radius of Hessian which results in better generalization on unseen data.
Layer Flexible Adaptive Computational Time
Deep recurrent neural networks perform well on sequence data and are the model of choice.
Predicting Shot Making in Basketball Learnt from Adversarial Multiagent Trajectories
In this paper, we predict the likelihood of a player making a shot in basketball from multiagent trajectories.
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