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Ikhyun Cho
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2020 – today
- 2024
- [c5]Ikhyun Cho, Gaeul Kwon, Julia Hockenmaier:
Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance. EMNLP (Findings) 2024: 9496-9506 - [i4]Yoonhwa Jung, Ikhyun Cho, Shun-Hsiang Hsu, Julia Hockenmaier:
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization. CoRR abs/2401.08998 (2024) - [i3]Ikhyun Cho, Changyeon Park, Julia Hockenmaier:
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers. CoRR abs/2403.09681 (2024) - 2023
- [c4]Jaeho Choi
, Yura Kim
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting. CIKM 2023: 348-358 - [c3]Ikhyun Cho, Yoonhwa Jung, Julia Hockenmaier
SIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token. EMNLP (Findings) 2023: 8535-8550 - 2022
- [i2]Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung, Ikhyun Cho:
Regional Precipitation Nowcasting Based on CycleGAN Extension. CoRR abs/2211.15046 (2022) - 2020
- [i1]Ikhyun Cho, U Kang:
Pea-KD: Parameter-efficient and Accurate Knowledge Distillation. CoRR abs/2009.14822 (2020)
2010 – 2019
- 2014
- [c2]Daeho Kim, Taegyu Hwang, Sanghoon Choi, Ikhyun Cho, Jiman Hong:
HILF: hybrid indoor locating framework. RACS 2014: 215-217 - [c1]Woochur Kim, Ikhyun Cho, Donghee Min, Chris Sung:
Design of data backup on distributed memory system based on key-value store using hot/cold data management. RACS 2014: 359-361
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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