Abstract: Deep neural networks (DNNs) trained via gradient descent (GD) with random initialization and without any regularization enjoy good generalization performance in practice despite being highly ...
Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...
The great success of deep learning relies heavily on ever-increasing amounts of training data, which incurs enormous computational and infrastructural costs. This raises crucial questions: Does all ...
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