Search Results for author: Hien Dang

Found 3 papers, 1 papers with code

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model

no code implementations4 Jan 2024 Hien Dang, Tho Tran, Tan Nguyen, Nhat Ho

However, when the training dataset is class-imbalanced, some NC properties will no longer be true.

Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders

no code implementations8 Jun 2023 Hien Dang, Tho Tran, Tan Nguyen, Nhat Ho

Specifically, via a non-trivial theoretical analysis of linear conditional VAE and hierarchical VAE with two levels of latent, we prove that the cause of posterior collapses in these models includes the correlation between the input and output of the conditional VAE and the effect of learnable encoder variance in the hierarchical VAE.

Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data

2 code implementations1 Jan 2023 Hien Dang, Tho Tran, Stanley Osher, Hung Tran-The, Nhat Ho, Tan Nguyen

Modern deep neural networks have achieved impressive performance on tasks from image classification to natural language processing.

Image Classification

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