| AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights B Heo, S Chun, SJ Oh, D Han, S Yun, G Kim, Y Uh, JW Ha ICLR 2021, 2020 | 206* | 2020 |
| Efficient Dialogue State Tracking by Selectively Overwriting Memory S Kim, S Yang, G Kim, SW Lee ACL 2020, 2019 | 204 | 2019 |
| LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems G Kim, H Yi, J Lee, Y Paek, S Yoon arXiv preprint arXiv:1611.01726, 2016 | 167 | 2016 |
| Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search G Kim, K Cho ACL 2021, 2020 | 94 | 2020 |
| SSMix: Saliency-Based Span Mixup for Text Classification S Yoon, G Kim, K Park Findings of ACL 2021, 2021 | 69 | 2021 |
| ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding M Kim, G Kim, SW Lee, JW Ha ICASSP 2021, 2020 | 42 | 2020 |
| Two-Stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding S Kim, G Kim, S Shin, S Lee ICASSP 2021, 7463-7467, 2021 | 28 | 2021 |
| Consistency Training with Virtual Adversarial Discrete Perturbation J Park, G Kim, J Kang NAACL 2022, 2021 | 17 | 2021 |
| Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation S Yoon, S Park, G Kim, J Cho, K Park, GT Kim, M Seo, A Oh ACL 2023, 2022 | 16 | 2022 |
| Training IBM Watson using Automatically Generated Question-Answer Pairs J Lee, G Kim, J Yoo, C Jung, M Kim, S Yoon HICSS 2017, 2016 | 14 | 2016 |
| Subword Language Model for Query Auto-Completion G Kim EMNLP-IJCNLP 2019, 2019 | 12 | 2019 |
| Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length S Guskin, M Wasserblat, K Ding, G Kim ENLSP NeurIPS Workshop 2021, 2021 | 9 | 2021 |
| Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models H Yi, G Kim, J Lee, S Ahn, Y Lee, S Yoon, Y Paek IEEE S&P DLS Workshop 2018, 2018 | 8 | 2018 |
| Generalized Steganalysis using Deep Learning H Kim, J Lee, G Kim, S Yoon KIISE Transactions on Computing Practices 23 (4), 244-249, 2017 | 4* | 2017 |
| Large Product Key Memory for Pretrained Language Models G Kim, TH Jung Findings of EMNLP 2020, 2020 | 2 | 2020 |
| Detecting Training Data of Large Language Models via Expectation Maximization G Kim, Y Li, E Spiliopoulou, J Ma, M Ballesteros, WY Wang arXiv preprint arXiv:2410.07582, 2024 | 1 | 2024 |
| Proceedings of The Third Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) A Fan, I Gurevych, Y Hou, Z Kozareva, S Luccioni, NS Moosavi, S Ravi, ... Proceedings of The Third Workshop on Simple and Efficient Natural Language …, 2022 | 1 | 2022 |
| Bridging the Training-Inference Gap for Dense Phrase Retrieval G Kim, J Lee, B Oguz, W Xiong, Y Zhang, Y Mehdad, WY Wang Findings of EMNLP 2022, 2022 | 1 | 2022 |
| NASCUP: Nucleic Acid Sequence Classification by Universal Probability S Kwon, G Kim, B Lee, J Chun, S Yoon, YH Kim IEEE Access 9, 162779-162791, 2021 | 1 | 2021 |
| Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) NS Moosavi, I Gurevych, Y Hou, G Kim, YJ Kim, T Schuster, A Agrawal Proceedings of The Fourth Workshop on Simple and Efficient Natural Language …, 2023 | | 2023 |
Jung-Woo HaResearch Fellow@NAVER AI Lab, Head of Future AI Center@NAVERnavercorp.com의 이메일 확인됨
