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Junho Kim
Junho Kim
在 korea.ac.kr 的电子邮件经过验证
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年份
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
142023
Dynamic Structure Pruning for Compressing CNNs
JH Park, Y Kim, J Kim, JY Choi, SK Lee
In Proceedings of the AAAI Conference on Artificial Intelligence 2023, 2023
122023
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
M Lee, JH Park, J Kim, KM Kim, SK Lee
In Proceedings of the 2022 Conference on Empirical Methods in Natural …, 2022
122022
SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts
JY Choi, J Kim, JH Park, WL Mok, SK Lee
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
72023
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
52022
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
In Proceedings of the 2022 Conference on Empirical Methods in Natural …, 2022
32022
Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models
JH Park, M Lee, J Kim, SK Lee
Findings of the Association for Computational Linguistics ACL 2024, 5815-5830, 2024
2024
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
Y Kim, J Kim, SK Lee
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
2024
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing
Y Kim, J Kim, JH Park, M Lee, SK Lee
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
2023
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