23 citations · 109 across the 19 of their papers we have counts for
4 papers · 1 filter
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation
Minyoung Kim, Timothy Hospedales
The meta learning few-shot classification is an emerging problem in machine learning that received enormous attention recently, where the goal is to learn a model that can quickly…
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
Minyoung Kim
We tackle the cross-modal retrieval problem, where learning is only supervised by relevant multi-modal pairs in the data. Although the contrastive learning is the most popular appr…
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture
Minyoung Kim
The von Mises-Fisher (vMF) is a well-known density model for directional random variables. The recent surge of the deep embedding methodologies for high-dimensional structured data…
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
Minyoung Kim, Vladimir Pavlovic
Variational autoencoder (VAE) is a very successful generative model whose key element is the so called amortized inference network, which can perform test time inference using a si…