Juhwan Choi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Top Venues

Tiny Papers @ ICLR

Publications

Juhwan Choi, YoungBin Kim
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. CoRR (2024)
Juhwan Choi, Jungmin Yun, Kyohoon Jin, YoungBin Kim
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. CoRR (2024)
Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, YoungBin Kim
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. CoRR (2024)
Juhwan Choi, YoungBin Kim
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. CoRR (2024)
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, Youngbin Kim
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. CoRR (2024)
Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim
GPTs Are Multilingual Annotators for Sequence Generation Tasks. EACL (Findings) (2024)
Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. CoRR (2024)
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. EACL (Student Research Workshop) (2024)
Seunguk Yu, Juhwan Choi, Youngbin Kim
Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks. CoRR (2024)
Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. LREC/COLING (2024)
Juhwan Choi, YoungBin Kim
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. Tiny Papers @ ICLR (2024)
Juhwan Choi, YoungBin Kim
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. Tiny Papers @ ICLR (2024)
Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks. CoRR (2024)
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, Youngbin Kim
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. CoRR (2024)
Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim
GPTs Are Multilingual Annotators for Sequence Generation Tasks. CoRR (2024)
Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. Tiny Papers @ ICLR (2023)
Kyohoon Jin, Junho Lee, Juhwan Choi, Soojin Jang, Youngbin Kim
Generative Data Augmentation via Wasserstein Autoencoder for Text Classification. ICTC (2022)
Hee-Sun Choi, Junmo An, Jin-Gyun Kim, Jae-Yoon Jung, Juhwan Choi, Grzegorz Orzechowski, Aki Mikkola, Jin-Hwan Choi
Data-driven simulation for general purpose multibody dynamics using deep neural networks. CoRR (2019)