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Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review
We systematically review state-of-the-art deep learning-based prediction, planning, and integrated prediction and planning models.
COPS: Controlled Pruning Before Training Starts
The combinatorial optimization problem given by COPS is relaxed on a linear program (LP).
FreezeNet: Full Performance by Reduced Storage Costs
On the classification tasks MNIST and CIFAR-10/100 we outperform SNIP, in this setting the best reported one-shot pruning method, applied before training.
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