Seongho Joe
Samsung (South Korea)(KR)Samsung SDS (South Korea)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications
Most-Cited Works
- → Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks(2021)124 cited
- → BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection(2022)64 cited
- → SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning(2021)29 cited
- → KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding(2021)13 cited
- → Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks(2021)10 cited
- → Enhancing Semantic Understanding with Self-Supervised Methods for Abstractive Dialogue Summarization(2021)4 cited
- → Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment(2024)2 cited
- → Shuffle & Divide: Contrastive Learning for Long Text(2022)2 cited