Jin Young Choi

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Seoul National University ∙ SAMSUNG

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Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders

Most of the existing literature regarding hyperbolic embedding concentra...
03/30/2021 ∙ by Jiwoong Park, et al. ∙ 0 ∙ share

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An ensemble of Density based Geometric One-Class Classifier and Genetic Algorithm

One of the most rising issues in recent machine learning research is One...
10/02/2020 ∙ by Do Gyun Kim, et al. ∙ 0 ∙ share

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Class-Attentive Diffusion Network for Semi-Supervised Classification

We propose Aggregation with Class-Attentive Diffusion (AggCAD), a novel ...
06/18/2020 ∙ by Jongin Lim, et al. ∙ 0 ∙ share

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Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks

Existing fine-tuning methods use a single learning rate over all layers....
02/14/2020 ∙ by Youngmin Ro, et al. ∙ 0 ∙ share

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Differentiable Fixed-Point Iteration Layer

Recently, several studies proposed methods to utilize some restricted cl...
02/07/2020 ∙ by Younahan Jeon, et al. ∙ 0 ∙ share

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Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold

This paper proposes a new high dimensional regression method by merging ...
08/12/2019 ∙ by YoungJoon Yoo, et al. ∙ 8 ∙ share

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Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

We propose a symmetric graph convolutional autoencoder which produces a ...
08/07/2019 ∙ by Jiwoong Park, et al. ∙ 0 ∙ share

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Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators

In this paper, we propose a novel structure for a cross-modal data assoc...
05/30/2019 ∙ by Dae Ung Jo, et al. ∙ 0 ∙ share

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Neuro-Optimization: Learning Objective Functions Using Neural Networks

Mathematical optimization is widely used in various research fields. Wit...
05/24/2019 ∙ by Younghan Jeon, et al. ∙ 0 ∙ share

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A Comprehensive Overhaul of Feature Distillation

We investigate the design aspects of feature distillation methods achiev...
04/03/2019 ∙ by Byeongho Heo, et al. ∙ 0 ∙ share

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Skeleton-based Action Recognition of People Handling Objects

In visual surveillance systems, it is necessary to recognize the behavio...
01/21/2019 ∙ by Sunoh Kim, et al. ∙ 0 ∙ share

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Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification

In person re-identification (ReID) task, because of its shortage of trai...
01/18/2019 ∙ by Youngmin Ro, et al. ∙ 0 ∙ share

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Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

An activation boundary for a neuron refers to a separating hyperplane th...
11/08/2018 ∙ by Byeongho Heo, et al. ∙ 0 ∙ share

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Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

Many recent works on knowledge distillation have provided ways to transf...
05/15/2018 ∙ by Byeongho Heo, et al. ∙ 0 ∙ share

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Improving Knowledge Distillation with Supporting Adversarial Samples

Many recent works on knowledge distillation have provided ways to transf...
05/15/2018 ∙ by Byeongho Heo, et al. ∙ 0 ∙ share

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Context-aware Deep Feature Compression for High-speed Visual Tracking

We propose a new context-aware correlation filter based tracking framewo...
03/28/2018 ∙ by Jongwon Choi, et al. ∙ 0 ∙ share

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