| M2m: Imbalanced Classification via Major-to-minor Translation J Kim*, J Jeong*, J Shin IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020 | 230 | 2020 |
| Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 172 | 2020 |
| Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation J Nam, J Kim, J Lee, J Shin International Conference on Learning Representations (ICLR 2022), 2022 | 56 | 2022 |
| Patch-Level Representation Learning for Self-Supervised Vision Transformers S Yun, H Lee, J Kim, J Shin IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 49 | 2022 |
| Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information R Wan, J Kim, D Kang AAAI Conference on Artificial Intelligence (AAAI 2023), 2023 | 25 | 2023 |
| Time Is MattEr: Temporal Self-supervision for Video Transformers S Yun, J Kim, D Han, H Song, JW Ha, J Shin International Conference on Machine Learning (ICML 2022), 2022 | 10 | 2022 |
| What Makes Better Augmentation Strategies? Augment Difficult but Not too Different J Kim, D Kang, S Ahn, J Shin International Conference on Learning Representations (ICLR 2022), 2022 | 9 | 2022 |
| Under the Surface: Tracking the Artifactuality of LLM-Generated Data D Das, K De Langis, A Martin, J Kim, M Lee, ZM Kim, S Hayati, R Owan, ... arXiv preprint arXiv:2401.14698, 2024 | 8 | 2024 |
| SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs J Kim, J Nam, S Mo, J Park, SW Lee, M Seo, JW Ha, J Shin International Conference on Learning Representations (ICLR 2024), 2024 | 7* | 2024 |
| Semi-supervised Tabular Classification via In-context Learning of Large Language Models J Nam, W Song, SH Park, J Tack, S Yun, J Kim, J Shin Workshop on Efficient Systems for Foundation Models (ICML 2023), 2023 | 5 | 2023 |
| Simplified Stochastic Feedforward Neural Networks K Lee, J Kim, S Chong, J Shin arXiv preprint arXiv:1704.03188, 2017 | 5 | 2017 |
| Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs W Song, S Oh, S Mo, J Kim, S Yun, JW Ha, J Shin International Conference on Learning Representations (ICLR 2024), 2024 | 4 | 2024 |
| Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning J Kim, J Shin, D Kang International Conference on Machine Learning (ICML 2023), 2023 | 3 | 2023 |
| Online Adaptation of Language Models with a Memory of Amortized Contexts J Tack, J Kim, E Mitchell, J Shin, YW Teh, JR Schwarz arXiv preprint arXiv:2403.04317, 2024 | 2 | 2024 |
| SelectLLM: Can LLMs Select Important Instructions to Annotate? RS Parkar, J Kim, JI Park, D Kang arXiv preprint arXiv:2401.16553, 2024 | 1 | 2024 |
| RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training J Kim, Y Mao, R Hou, H Yu, D Liang, P Fung, Q Wang, F Feng, L Huang, ... Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 …, 2023 | 1 | 2023 |
| infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information J Kim, Y Kim, K de Langis, J Shin, D Kang Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023 | 1 | 2023 |
| Aligning Large Language Models with Self-generated Preference Data D Kim, K Lee, J Shin, J Kim arXiv preprint arXiv:2406.04412, 2024 | | 2024 |
| Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) R Koo, Y Kim, D Kang, J Kim AAAI 2024 Student Abstract, 2024 | | 2024 |
Jinwoo ShinKAIST Endowed Chair Professor在 kaist.ac.kr 的电子邮件经过验证
