13 citations · 14 across the 3 of their papers we have counts for
3 papers
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
Tina Behnia, Christos Thrampoulidis
Recent findings reveal that over-parameterized deep neural networks, trained beyond zero training-error, exhibit a distinctive structural pattern at the final layer, termed as Neur…
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian +1
Various logit-adjusted parameterizations of the cross-entropy (CE) loss have been proposed as alternatives to weighted CE for training large models on label-imbalanced data far bey…
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis, Ganesh R. Kini, Vala Vakilian +1
Neural Collapse refers to the remarkable structural properties characterizing the geometry of class embeddings and classifier weights, found by deep nets when trained beyond zero t…