Jongwoo Ko

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Relevance Model

Top Venues

Publications

Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun
DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR (2024)
Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition. CoRR (2023)
Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. CoRR (2023)
Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun
Fine tuning Pre trained Models for Robustness Under Noisy Labels. CoRR (2023)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI (2023)
Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. CoRR (2023)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR (2023)
Jongwoo Ko, Bongsoo Yi, Se-Young Yun
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. AAAI (2023)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP (2023)
Yongjin Yang, Jongwoo Ko, Se-Young Yun
Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models. CoRR (2023)
Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. EMNLP (Findings) (2023)
Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. ICLR (2023)
Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. EACL (Findings) (2023)
Jongwoo Ko, Bongsoo Yi, Se-Young Yun
ALASCA: Rethinking Label Smoothing for Deep Learning Under Label Noise. CoRR (2022)
Jaehoon Oh, Jongwoo Ko, Se-Young Yun
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. CoRR (2022)
Jaehoon Oh, Jongwoo Ko, Se-Young Yun
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. EMNLP (2022)
Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun
Winning Ticket in Noisy Image Classification. CoRR (2021)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning. CoRR (2021)
Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun
FINE Samples for Learning with Noisy Labels. NeurIPS (2021)