most citedIB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks

47 citations · 49 across the 4 of their papers we have counts for

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cs.LG2025

Federated Learning via Meta-Variational Dropout

Insu Jeon, Minui Hong, Junhyeog Yun +1

Federated Learning (FL) aims to train a global inference model from remotely distributed clients, gaining popularity due to its benefit of improving data privacy. However, traditio…

cs.LG2025

Neural Variational Dropout Processes

Insu Jeon, Youngjin Park, Gunhee Kim

Learning to infer the conditional posterior model is a key step for robust meta-learning. This paper presents a new Bayesian meta-learning approach called Neural Variational Dropou…