Deep learning neural networks can be massive, demanding major computing power. In a test of the Lottery Ticket Hypothesis, MIT researchers have found leaner, more efficient subnetworks hidden...
Deep learning has driven much of the recent progress in artificial intelligence, but as demand for computation and energy to train ever-larger models increases, many are raising concerns...
Image: Alex Renda It’s so simple that they unveiled it in a tweet last month: Train the model, prune its weakest connections, retrain the model at its fast, early training...
