Adaptive convolution for text classification BJ Choi, JH Park, SK Lee Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 19 | 2019 |
Efficient pre-training of masked language model via concept-based curriculum masking M Lee, JH Park, J Kim, KM Kim, SK Lee arXiv preprint arXiv:2212.07617, 2022 | 10 | 2022 |
Dynamic structure pruning for compressing CNNs JH Park, Y Kim, J Kim, JY Choi, SK Lee Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9408-9416, 2023 | 9 | 2023 |
Quantized sparse training: a unified trainable framework for joint pruning and quantization in DNNs JH Park, KM Kim, S Lee ACM Transactions on Embedded Computing Systems (TECS) 21 (5), 1-22, 2022 | 8 | 2022 |
Multi-pretraining for large-scale text classification KM Kim, B Hyeon, Y Kim, JH Park, SK Lee Findings of the Association for Computational Linguistics: EMNLP 2020, 2041-2050, 2020 | 6 | 2020 |
Learning from missing relations: Contrastive learning with commonsense knowledge graphs for commonsense inference YH Jung, JH Park, JY Choi, M Lee, J Kim, KM Kim, SK Lee Findings of the Association for Computational Linguistics: ACL 2022, 1514-1523, 2022 | 5 | 2022 |
MeChat: In-device personal assistant for conversational photo sharing KM Kim, WJ Ryu, JH Park, SK Lee IEEE Internet Computing 23 (2), 23-30, 2018 | 5 | 2018 |
Client-customized adaptation for parameter-efficient federated learning Y Kim, J Kim, WL Mok, JH Park, SK Lee Findings of the Association for Computational Linguistics: ACL 2023, 1159-1172, 2023 | 4 | 2023 |
Examining the impact of adaptive convolution on natural language understanding JH Park, BJ Choi, SK Lee Expert Systems with Applications 189, 116044, 2022 | 3 | 2022 |
KOAS: Korean text offensiveness analysis system SH Park, KM Kim, S Cho, JH Park, H Park, H Kim, S Chung, SK Lee Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 3 | 2021 |
SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts JY Choi, J Kim, JH Park, WL Mok, SK Lee The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 2 | 2023 |
Tutoring helps students learn better: Improving knowledge distillation for bert with tutor network J Kim, JH Park, M Lee, WL Mok, JY Choi, SK Lee Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 2 | 2022 |
Break it down into bts: Basic, tiniest subword units for korean N Kim, JH Park, JY Choi, E Jeon, Y Kang, SK Lee Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 1 | 2022 |
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing Y Kim, J Kim, JH Park, M Lee, SK Lee The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
DIVE: Towards Descriptive and Diverse Visual Commonsense Generation JH Park, H Park, Y Kang, E Jeon, SK Lee Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
meChat: In-device Conversational Photo Sharing Service J Lee, WJ Ryu, Y Ahn, SE Lee, KM Kim, JH Park, SK Lee Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019 | | 2019 |