Concepedia

Seongho Joe

SJ

Statistics

Publications

6

Citations

249

H-Index

6

Active since

2021

Affiliations

Samsung SDS (South Korea)(Current)

Samsung (South Korea)

Seongho Joe is an author at Samsung SDS (South Korea) specializing in engineering, deep learning, and machine learning.

Top concepts

EngineeringDeep LearningMachine LearningNatural Language ProcessingLanguageLinguisticsText MiningLanguage ModelsMachine TranslationPattern Recognition

Publications per year

2021–2022

6

Publications

6

Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks

Hyun‐Jin Choi, Judong Kim, Seongho Joe et al. · 2021 · 123 citations

Engineering, Machine Learning, Cross-lingual Representation +18

BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection

Yonghyun Jeong, Doyeon Kim, Seung-Jai Min et al. · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2022 · 63 citations

Gan Model, Convolutional Neural Network, Engineering +18

SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning

Byoungjip Kim, Jinho Choo, Yeong‐Dae Kwon et al. · arXiv (Cornell University) · 2021 · 29 citations · Full text

Artificial Intelligence, Natural Language Processing, Data Augmentation +15

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

Hyunjae Lee, Jaewoong Yoon, Bonggyu Hwang et al. · 2021 · 13 citations

Llm Fine-tuning, Engineering, Cross-lingual Representation +20

Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks

Hyun‐Jin Choi, Judong Kim, Seongho Joe et al. · arXiv (Cornell University) · 2021 · 11 citations · Full text

1–5 of 6