Jongwoo Ko

According to our database, Jongwoo Ko authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DistiLLM: Towards Streamlined Distillation for Large Language Models.

Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun

CoRR, 2024

2023

Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models.

Yongjin Yang, Jongwoo Ko, Se-Young Yun

CoRR, 2023

Fine tuning Pre trained Models for Robustness Under Noisy Labels.

Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun

CoRR, 2023

CUDA: Curriculum of Data Augmentation for Long-tailed Recognition.

Sumyeong Ahn, Jongwoo Ko, Se-Young Yun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models.

Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding.

Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.

Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise.

Jongwoo Ko, Bongsoo Yi, Se-Young Yun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network.

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise.

Jongwoo Ko, Bongsoo Yi, Se-Young Yun

CoRR, 2022

Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks.

Jaehoon Oh, Jongwoo Ko, Se-Young Yun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Self-Contrastive Learning.

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

CoRR, 2021

FINE Samples for Learning with Noisy Labels.

Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021