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June Yong Yang
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2020 – today
- 2024
- [j1]Hyeongwon Jang, June Yong Yang, Jaeryong Hwang, Eunho Yang:
Time Series Classification With Large Language Models via Linguistic Scaffolding. IEEE Access 12: 170387-170398 (2024) - [c6]June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang:
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication. ICLR 2024 - [i11]June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee:
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. CoRR abs/2402.18096 (2024) - [i10]Hyunjin Seo, Taewon Kim, June Yong Yang, Eunho Yang:
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models. CoRR abs/2405.18581 (2024) - [i9]Changhun Kim, Taewon Kim, Seungyeon Woo, June Yong Yang, Eunho Yang:
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler. CoRR abs/2407.10784 (2024) - [i8]Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee:
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR abs/2407.11534 (2024) - [i7]Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kang Min Yoo:
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. CoRR abs/2407.12863 (2024) - [i6]Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang:
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. CoRR abs/2410.03355 (2024) - [i5]Yoonjeon Kim, Soohyun Ryu, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang:
Augmentation-Driven Metric for Balancing Preservation and Modification in Text-Guided Image Editing. CoRR abs/2410.11374 (2024) - [i4]Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sungyub Kim, Eunho Yang:
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. CoRR abs/2411.00360 (2024) - 2023
- [c5]Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang:
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. ICML 2023: 15435-15450 - 2022
- [c4]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI 2022: 7957-7965 - [c3]Juhyuk Lee, Min-Joong Lee, June Yong Yang, Eunho Yang:
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods. NAACL-HLT 2022: 3849-3858 - 2021
- [c2]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [i3]Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang:
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. CoRR abs/2112.01021 (2021) - [i2]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR abs/2112.08796 (2021) - 2020
- [c1]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS 2020 - [i1]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR abs/2010.15054 (2020)
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last updated on 2024-12-23 20:32 CET by the dblp team
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