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Found 2 papers, 1 papers with code
Feature Generation for Long-tail Classification
Oversampling instances of the tail classes attempts to solve this imbalance.
Ranked #1 on
Long-tail Learning
on mini-ImageNet-LT
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
In this work, we propose a layerwise loss landscape analysis where the loss surface at every layer is studied independently and also on how each correlates to the overall loss surface.
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