24 citations · 94 across the 8 of their papers we have counts for
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cs.LG2020★ 7 cited
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal, Gal Kaplun, Boaz Barak
We prove a new upper bound on the generalization gap of classifiers that are obtained by first using self-supervision to learn a representation of the training data, and then f…
cs.LG2020★ 13 cited
Distributional Generalization: A New Kind of Generalization
Preetum Nakkiran, Yamini Bansal
We introduce a new notion of generalization -- Distributional Generalization -- which roughly states that outputs of a classifier at train and test time are close *as distributions…
stat.ML2020★ 3 cited
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling
Akash Srivastava, Yamini Bansal, Yukun Ding +15
Current autoencoder-based disentangled representation learning methods achieve disentanglement by penalizing the (aggregate) posterior to encourage statistical independence of the…