Seongmin Lee | DeepAI

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Featured Co-authors

Duen Horng Chau
66 publications
Judy Hoffman
55 publications
Robert Feldt
51 publications
Zijie J. Wang
28 publications
U Kang
27 publications
Hendrik Strobelt
27 publications
Shin Yoo
25 publications
Haekyu Park
20 publications
Nilaksh Das
16 publications
Omar Shaikh
15 publications
Rahul Duggal
13 publications

∙ 05/04/2023

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

Computational notebooks such as Jupyter Notebook have become data scient...

0 Zijie J. Wang, et al. ∙

∙ 05/04/2023

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

Diffusion-based generative models' impressive ability to create convinci...

5 Seongmin Lee, et al. ∙

∙ 10/01/2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity

As the information on the Internet continues growing exponentially, unde...

0 Seongmin Lee, et al. ∙

∙ 05/08/2022

NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics

How can we develop visual analytics (VA) tools that can be easily adopte...

0 Zijie J. Wang, et al. ∙

∙ 04/12/2022

VisCUIT: Visual Auditor for Bias in CNN Image Classifier

CNN image classifiers are widely used, thanks to their efficiency and ac...

0 Seongmin Lee, et al. ∙

∙ 03/30/2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training

Deep neural networks (DNNs) have been widely used for decision making, p...

5 Haekyu Park, et al. ∙

∙ 04/22/2021

Effectively Sampling Higher Order Mutants Using Causal Effect

Higher Order Mutation (HOM) has been proposed to avoid equivalent mutant...

0 Saeyoon Oh, et al. ∙

∙ 04/19/2021

Causal Program Dependence Analysis

We introduce Causal Program Dependence Analysis (CPDA), a dynamic depend...

0 Seongmin Lee, et al. ∙

∙ 09/30/2020

AUBER: Automated BERT Regularization

How can we effectively regularize BERT? Although BERT proves its effecti...

12 Hyun Dong Lee, et al. ∙

∙ 09/29/2020

Ensemble Multi-Source Domain Adaptation with Pseudolabels

Given multiple source datasets with labels, how can we train a target mo...

0 Seongmin Lee, et al. ∙

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