10 citations · 29 across the 8 of their papers we have counts for
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cs.LG2020
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin, Martin Rinard
We propose a novel setting for learning, where the input domain is the image of a map defined on the product of two sets, one of which completely determines the labels. We derive a…
stat.ML2020★ 10 cited
Manifold Regularization for Locally Stable Deep Neural Networks
Charles Jin, Martin Rinard
We apply concepts from manifold regularization to develop new regularization techniques for training locally stable deep neural networks. Our regularizers are based on a sparsifica…