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YoungBin Kim
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 14
Top Topics
Text Data
Top Venues
CoRR
Tiny Papers @ ICLR
EACL (Findings)
EACL (Student Research Workshop)
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Publications
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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
,
Eunju Lee
,
Kyohoon Jin
,
YoungBin Kim
GPTs Are Multilingual Annotators for Sequence Generation Tasks.
EACL (Findings)
(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)
Juhwan Choi
,
YoungBin Kim
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion.
Tiny Papers @ ICLR
(2024)
Junehyoung Kwon
,
Eunju Lee
,
Yunsung Cho
,
YoungBin Kim
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation.
CoRR
(2024)
Junehyoung Kwon
,
Eunju Lee
,
Yunsung Cho
,
YoungBin Kim
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation.
WACV
(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
,
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)
Bilan Gao
,
YoungBin Kim
Towards Robust Feature Learning with t-vFM Similarity for Continual Learning.
Tiny Papers @ ICLR
(2023)