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11/02/2022
POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks
Deep Neural Networks (DNNs) outshine alternative function approximators ...
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10/05/2022
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Joint-Embedding Self Supervised Learning (JE-SSL) has seen a rapid devel...
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09/29/2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations
Self-Supervised Learning (SSL) methods such as VICReg, Barlow Twins or W...
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03/10/2022
projUNN: efficient method for training deep networks with unitary matrices
In learning with recurrent or very deep feed-forward networks, employing...
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06/18/2020
The Recurrent Neural Tangent Kernel
The study of deep networks (DNs) in the infinite-width limit, via the so...
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05/28/2019
A Hessian Based Complexity Measure for Deep Networks
Deep (neural) networks have been applied productively in a wide range of...
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05/17/2018
