b'Sungroh Yoon'

research

∙ 08/25/2023

1.5 million materials narratives generated by chatbots

The advent of artificial intelligence (AI) has enabled a comprehensive e...

0 Yang Jeong Park, et al. ∙

research

∙ 07/04/2023

ProPILE: Probing Privacy Leakage in Large Language Models

The rapid advancement and widespread use of large language models (LLMs)...

0 Siwon Kim, et al. ∙

research

∙ 06/28/2023

Mass Spectra Prediction with Structural Motif-based Graph Neural Networks

Mass spectra, which are agglomerations of ionized fragments from targete...

0 Jiwon Park, et al. ∙

research

∙ 06/28/2023

UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data

We propose UnitSpeech, a speaker-adaptive speech synthesis method that f...

0 Heeseung Kim, et al. ∙

research

∙ 06/08/2023

Improving Visual Prompt Tuning for Self-supervised Vision Transformers

Visual Prompt Tuning (VPT) is an effective tuning method for adapting pr...

0 Seungryong Yoo, et al. ∙

research

∙ 06/02/2023

Probabilistic Concept Bottleneck Models

Interpretable models are designed to make decisions in a human-interpret...

0 Eunji Kim, et al. ∙

research

∙ 05/25/2023

On the Impact of Knowledge Distillation for Model Interpretability

Several recent studies have elucidated why knowledge distillation (KD) i...

0 Hyeongrok Han, et al. ∙

research

∙ 03/14/2023

Edit-A-Video: Single Video Editing with Object-Aware Consistency

Despite the fact that text-to-video (TTV) model has recently achieved re...

1 Chaehun Shin, et al. ∙

research

∙ 03/14/2023

Sample-efficient Adversarial Imitation Learning

Imitation learning, in which learning is performed by demonstration, has...

0 Dahuin Jung, et al. ∙

research

∙ 02/17/2023

New Insights for the Stability-Plasticity Dilemma in Online Continual Learning

The aim of continual learning is to learn new tasks continuously (i.e., ...

0 Dahuin Jung, et al. ∙

research

∙ 10/25/2022

FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks

Personalized federated learning is aimed at allowing numerous clients to...

0 Jaehee Jang, et al. ∙

research

∙ 06/15/2022

E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations

Event cameras respond to brightness changes in the scene asynchronously ...

0 Jongwan Kim, et al. ∙

research

∙ 06/14/2022

Confidence Score for Source-Free Unsupervised Domain Adaptation

Source-free unsupervised domain adaptation (SFUDA) aims to obtain high p...

11 Jonghyun Lee, et al. ∙

research

∙ 06/10/2022

Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering

To estimate the volume density and color of a 3D point in the multi-view...

0 Geonho Cha, et al. ∙

research

∙ 06/09/2022

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Despite recent progress in generative adversarial network(GAN)-based voc...

8 Sang-gil Lee, et al. ∙

research

∙ 05/30/2022

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data

We propose Guided-TTS 2, a diffusion-based generative model for high-qua...

0 Sungwon Kim, et al. ∙

research

∙ 04/11/2022

Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization

Obtaining accurate pixel-level localization from class labels is a cruci...

0 Jungbeom Lee, et al. ∙

research

∙ 04/01/2022

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

Weakly supervised object localization aims to find a target object regio...

0 Eunji Kim, et al. ∙

research

∙ 03/28/2022

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?

In Neural Architecture Search (NAS), reducing the cost of architecture e...

0 Jisoo Mok, et al. ∙

research

∙ 03/08/2022

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

Weakly supervised semantic segmentation (WSSS) methods are often built o...

7 Jungbeom Lee, et al. ∙

research

∙ 02/07/2022

Dataset Condensation with Contrastive Signals

Recent studies have demonstrated that gradient matching-based dataset sy...

0 Saehyung Lee, et al. ∙

research

∙ 01/30/2022

AutoSNN: Towards Energy-Efficient Spiking Neural Networks

Spiking neural networks (SNNs) that mimic information transmission in th...

0 Byunggook Na, et al. ∙

research

∙ 12/02/2021

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

The computer-aided diagnosis of focal liver lesions (FLLs) can help impr...

10 Sang-gil Lee, et al. ∙

research

∙ 11/24/2021

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising

We improve the recently developed Neural DUDE, a neural network-based ad...

0 Sungmin Cha, et al. ∙

research

∙ 11/23/2021

Guided-TTS:Text-to-Speech with Untranscribed Speech

Most neural text-to-speech (TTS) models require <speech, transcript> pai...

0 Heeseung Kim, et al. ∙

research

∙ 10/23/2021

Scalable Smartphone Cluster for Deep Learning

Various deep learning applications on smartphones have been rapidly risi...

0 Byunggook Na, et al. ∙

research

∙ 10/13/2021

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation produces pixel-level localizatio...

13 Jungbeom Lee, et al. ∙

research

∙ 10/02/2021

FICGAN: Facial Identity Controllable GAN for De-identification

In this work, we present Facial Identity Controllable GAN (FICGAN) for n...

0 Yonghyun Jeong, et al. ∙

research

∙ 09/14/2021

AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate

Non-autoregressive neural machine translation (NART) models suffer from ...

0 Jongyoon Song, et al. ∙

research

∙ 09/11/2021

Towards a Rigorous Evaluation of Time-series Anomaly Detection

In recent years, proposed studies on time-series anomaly detection (TAD)...

0 Siwon Kim, et al. ∙

research

∙ 09/07/2021

Rare Words Degenerate All Words

Despite advances in neural network language model, the representation de...

0 Sangwon Yu, et al. ∙

research

∙ 08/06/2021

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Denoising diffusion probabilistic models (DDPM) have shown remarkable pe...

0 Jooyoung Choi, et al. ∙

research

∙ 08/03/2021

AdvRush: Searching for Adversarially Robust Neural Architectures

Deep neural networks continue to awe the world with their remarkable per...

13 Jisoo Mok, et al. ∙

research

∙ 08/03/2021

Toward Spatially Unbiased Generative Models

Recent image generation models show remarkable generation performance. H...

14 Jooyoung Choi, et al. ∙

research

∙ 07/23/2021

TargetNet: Functional microRNA Target Prediction with Deep Neural Networks

MicroRNAs (miRNAs) play pivotal roles in gene expression regulation by b...

0 Seonwoo Min, et al. ∙

research

∙ 06/29/2021

Geometry-aware Transformer for molecular property prediction

Recently, graph neural networks (GNNs) have achieved remarkable performa...

0 Bumju Kwak, et al. ∙

research

∙ 06/14/2021

Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation

A molecule is a complex of heterogeneous components, and the spatial arr...

0 Jeonghee Jo, et al. ∙

research

∙ 06/14/2021

Energy-efficient Knowledge Distillation for Spiking Neural Networks

Spiking neural networks (SNNs) have been gaining interest as energy-effi...

0 Dongjin Lee, et al. ∙

research

∙ 06/11/2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

Denoising diffusion probabilistic models have been recently proposed to ...

5 Sang-gil Lee, et al. ∙

research

∙ 06/09/2021

Stein Latent Optimization for GANs

Generative adversarial networks (GANs) with clustered latent spaces can ...

0 Uiwon Hwang, et al. ∙

research

∙ 06/09/2021

Accelerating Neural Architecture Search via Proxy Data

Despite the increasing interest in neural architecture search (NAS), the...

0 Byunggook Na, et al. ∙

research

∙ 06/04/2021

Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding

The tremendous energy consumption of deep neural networks (DNNs) has bec...

0 Seongsik Park, et al. ∙

research

∙ 04/22/2021

Noise-Robust Deep Spiking Neural Networks with Temporal Information

Spiking neural networks (SNNs) have emerged as energy-efficient neural n...

0 Seongsik Park, et al. ∙

research

∙ 03/19/2021

XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations

Automated diagnosis using deep neural networks in chest radiography can ...

7 Eunji Kim, et al. ∙

research

∙ 03/16/2021

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

Weakly supervised segmentation methods using bounding box annotations fo...

0 Jungbeom Lee, et al. ∙

research

∙ 03/16/2021

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

Weakly supervised semantic segmentation produces a pixel-level localizat...

0 Jungbeom Lee, et al. ∙

research

∙ 01/17/2021

Removing Undesirable Feature Contributions Using Out-of-Distribution Data

Several data augmentation methods deploy unlabeled-in-distribution (UID)...

0 Saehyung Lee, et al. ∙

research

∙ 10/27/2020

Interpretation of NLP models through input marginalization

To demystify the "black box" property of deep neural networks for natura...

0 Siwon Kim, et al. ∙

research

∙ 10/22/2020

Momentum Contrast Speaker Representation Learning

Unsupervised representation learning has shown remarkable achievement by...

0 Jangho Lee, et al. ∙

research

∙ 09/23/2020

Information-Theoretic Visual Explanation for Black-Box Classifiers

In this work, we attempt to explain the prediction of any black-box clas...

11 Jihun Yi, et al. ∙

Sungroh Yoon

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