22 citations · 81 across the 31 of their papers we have counts for
3 papers · 1 filter
A provably stable neural network Turing Machine
John Stogin, Ankur Mali, C Lee Giles
We introduce a neural stack architecture, including a differentiable parametrized stack operator that approximates stack push and pop operations for suitable choices of parameters…
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack
Ankur Mali, Alexander Ororbia, Daniel Kifer +1
Recurrent neural networks (RNNs) are a widely used deep architecture for sequence modeling, generation, and prediction. Despite success in applications such as machine translation…
Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment
Alexander Ororbia, Ankur Mali, Daniel Kifer +1
Training deep neural networks on large-scale datasets requires significant hardware resources whose costs (even on cloud platforms) put them out of reach of smaller organizations,…