Minyoung Kim | DeepAI

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Ming-Hsuan Yang
115 publications
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67 publications
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62 publications
Wenjun Zhang
55 publications
Mark Schmidt
54 publications
Vladimir Pavlovic
52 publications
Da Li
36 publications
Ji Zhu
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Nian Liu
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Ricardo Guerrero
19 publications
Hua Yang
17 publications

∙ 06/16/2023

A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning

We propose a novel hierarchical Bayesian model for learning with a large...

0 Minyoung Kim, et al. ∙

∙ 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. ∙

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