Recent works on learned index open a new direction for the indexing fiel...
Deep-learning-based compressor has received interests recently due to mu...
Deep neural networks with batch normalization (BN-DNNs) are invariant to...
Nested networks or slimmable networks are neural networks whose architec...
Using weight decay to penalize the L2 norms of weights in neural network...
Estimating the uncertainty of a Bayesian model has been investigated for...