Yeachan Kim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Active Learning

Language Understanding

Text Classification

Unlabeled Documents

Top Venues

Publications

SungHo Kim, Juhyeong Park, Yeachan Kim, SangKeun Lee
KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters. ACL (Findings) (2024)
Yeachan Kim, SangKeun Lee
SparseFlow: Accelerating Transformers by Sparsifying Information Flows. ACL (1) (2024)
Yeachan Kim, Junho Kim, SangKeun Lee
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning. ACL (1) (2024)
Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin
Phase-shifted adversarial training. UAI (2023)
Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, SangKeun Lee
Dynamic Structure Pruning for Compressing CNNs. CoRR (2023)
Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin
Phase-shifted Adversarial Training. CoRR (2023)
Eojin Jeon, Mingyu Lee, Juhyeong Park, Yeachan Kim, Wing-Lam Mok, SangKeun Lee
Improving Bias Mitigation through Bias Experts in Natural Language Understanding. CoRR (2023)
Eojin Jeon, Mingyu Lee, Juhyeong Park, Yeachan Kim, Wing-Lam Mok, SangKeun Lee
Improving Bias Mitigation through Bias Experts in Natural Language Understanding. EMNLP (2023)
Yeachan Kim, Junho Kim, Wing-Lam Mok, Jun-Hyung Park, SangKeun Lee
Client-Customized Adaptation for Parameter-Efficient Federated Learning. ACL (Findings) (2023)
Yeachan Kim, Bonggun Shin
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization. CoRR (2023)
Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, SangKeun Lee
Dynamic Structure Pruning for Compressing CNNs. AAAI (2023)
Yeachan Kim, Junho Kim, Jun-Hyung Park, Mingyu Lee, SangKeun Lee
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing. EMNLP (2023)
Yeachan Kim, Bonggun Shin
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning. CoRR (2022)
Do-Myoung Lee, Yeachan Kim, Chang-gyun Seo
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels. CoRR (2022)
Yeachan Kim, Bonggun Shin
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning. KDD (2022)
Do-Myoung Lee, Yeachan Kim, Chang-gyun Seo
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels. LREC (2022)
Yeachan Kim, Bonggun Shin
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention. MLHC (2021)
Yeachan Kim, Bonggun Shin
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention. CoRR (2021)
Jungho Lee, Byung-Ju Choi, Yeachan Kim, Kang-Min Kim, Woo-Jong Ryu, SangKeun Lee
Personalizing large-scale text classification by modeling individual differences. SAC (2020)
Yeachan Kim, Kang-Min Kim, SangKeun Lee
Adaptive Compression of Word Embeddings. ACL (2020)
Yeachan Kim, Kang-Min Kim, SangKeun Lee
Representation Learning for Unseen Words by Bridging Subwords to Semantic Networks. LREC (2020)
Kang-Min Kim, Bumsu Hyeon, Yeachan Kim, Jun-Hyung Park, SangKeun Lee
Multi-pretraining for Large-scale Text Classification. EMNLP (Findings) (2020)
Kang-Min Kim, Yeachan Kim, Jungho Lee, Ji-Min Lee, SangKeun Lee
From Small-scale to Large-scale Text Classification. WWW (2019)
Do-Myoung Lee, Yeachan Kim, Ji-Min Lee, SangKeun Lee
A Unified Approach to Word Sense Representation and Disambiguation. ICCI*CC (2018)
Ji-Min Lee, Kang-Min Kim, Yeachan Kim, SangKeun Lee
Improving Open Directory Project-Based Text Classification with Hierarchical Category Embedding. ICCI*CC (2018)
Yeachan Kim, Kang-Min Kim, Ji-Min Lee, SangKeun Lee
Learning to Generate Word Representations using Subword Information. COLING (2018)