Minyoung Kim | DeepAI

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Featured Co-authors

Ming-Hsuan Yang
115 publications
Timothy M. Hospedales
61 publications
Timothy Hospedales
61 publications
Wenjun Zhang
51 publications
Mark Schmidt
50 publications
Vladimir Pavlovic
49 publications
Da Li
32 publications
Ji Zhu
31 publications
Nian Liu
24 publications
Ricardo Guerrero
19 publications
Hua Yang
15 publications

∙ 05/08/2023

FedHB: Hierarchical Bayesian Federated Learning

We propose a novel hierarchical Bayesian approach to Federated Learning ...

0 Minyoung Kim, et al. ∙

∙ 02/23/2023

Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach

We tackle the domain generalisation (DG) problem by posing it as a domai...

0 Minyoung Kim, et al. ∙

∙ 06/10/2022

Fisher SAM: Information Geometry and Sharpness Aware Minimisation

Recent sharpness-aware minimisation (SAM) is known to find flat minima w...

0 Minyoung Kim, et al. ∙

∙ 04/15/2022

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference

Few-shot learning (FSL) is an important and topical problem in computer ...

0 Shell Xu Hu, et al. ∙

∙ 03/29/2022

DesCert: Design for Certification

The goal of the DARPA Automated Rapid Certification Of Software (ARCOS) ...

0 Natarajan Shankar, et al. ∙

∙ 11/10/2021

SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval

We tackle the cross-modal retrieval problem, where the training is only ...

0 Minyoung Kim, et al. ∙

∙ 11/09/2021

Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation

The meta learning few-shot classification is an emerging problem in mach...

0 Minyoung Kim, et al. ∙

∙ 07/19/2021

Synthesizing Human Faces using Latent Space Factorization and Local Weights (Extended Version)

We propose a 3D face generative model with local weights to increase the...

0 Minyoung Kim, et al. ∙

∙ 02/10/2021

On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture

The von Mises-Fisher (vMF) is a well-known density model for directional...

0 Minyoung Kim, et al. ∙

∙ 02/05/2021

Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach

Variational autoencoder (VAE) is a very successful generative model whos...

0 Minyoung Kim, et al. ∙

∙ 12/01/2020

Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach

We deal with the problem of learning the underlying disentangled latent ...

0 Minyoung Kim, et al. ∙

∙ 11/17/2020

Recursive Inference for Variational Autoencoders

Inference networks of traditional Variational Autoencoders (VAEs) are ty...

0 Minyoung Kim, et al. ∙

∙ 09/07/2020

Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models

In deep representational learning, it is often desired to isolate a part...

3 Minyoung Kim, et al. ∙

∙ 09/26/2019

Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation

Domain Adaptation (DA), the process of effectively adapting task models ...

11 Behnam Gholami, et al. ∙

∙ 09/06/2019

Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement

We propose a family of novel hierarchical Bayesian deep auto-encoder mod...

17 Minyoung Kim, et al. ∙

∙ 07/25/2019

Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine

In spite of the rapidly increasing number of applications of machine lea...

6 Mark-Oliver Stehr, et al. ∙

∙ 05/16/2019

Efficient Deep Gaussian Process Models for Variable-Sized Input

Deep Gaussian processes (DGP) have appealing Bayesian properties, can ha...

5 Issam H. Laradji, et al. ∙

∙ 02/23/2019

Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach

In unsupervised domain adaptation, it is widely known that the target do...

5 Minyoung Kim, et al. ∙

∙ 02/05/2019

Relevance Factor VAE: Learning and Identifying Disentangled Factors

We propose a novel VAE-based deep auto-encoder model that can learn dise...

11 Minyoung Kim, et al. ∙

∙ 02/02/2019

Online Multi-Object Tracking with Dual Matching Attention Networks

In this paper, we propose an online Multi-Object Tracking (MOT) approach...

0 Ji Zhu, et al. ∙

∙ 09/28/2016

Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking

Multi-object tracking has recently become an important area of computer ...

0 Minyoung Kim, et al. ∙

∙ 03/06/2015

Deep Clustered Convolutional Kernels

Deep neural networks have recently achieved state of the art performance...

0 Minyoung Kim, et al. ∙