2 papers
cs.LG2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen +1
When using recurrent neural networks (RNNs) it is common practice to apply trained models to sequences longer than those seen in training. This "extrapolating" usage deviates from…
cs.LG2020
Regularizing Towards Permutation Invariance in Recurrent Models
Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
In many machine learning problems the output should not depend on the order of the input. Such "permutation invariant" functions have been studied extensively recently. Here we arg…