Publications
(C: peer-reviewed conference, J: peer-reviewed journal, W: peer-reviewed workshop, I: invited conference, * = equal contributions)
2023
- [C146] DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin and Sung-Ju Lee
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2023 (will be presented at ACM UbiComp 2023)
- [C145] Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
Jaehyung Kim, Jinwoo Shin and Dongyeop Kang
International Conference on Machine Learning (ICML), 2023
- [C144] Modality-Agnostic Variational Compression of Implicit Neural Representations (arXiv)
Jonathan Richard Schwarz*, Jihoon Tack*, Yee Whye Teh, Jaeho Lee, and Jinwoo Shin
International Conference on Machine Learning (ICML), 2023
- [C143] Multi-View Masked World Models for Visual Robotic Manipulation (arXiv, code, site)
Younggyo Seo*, Junsu Kim*, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
International Conference on Machine Learning (ICML), 2023
- [C142] infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
Jaehyung Kim, Yekyung Kim, Karin Johanna, Denton de Langis, Jinwoo Shin and Dongyeop Kang
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
- [C136] String-based Molecule Generation via Multi-decoder VAE (arXiv)
Kisoo Kwon, Kuhwan Jeong, Junghyun Park Park, Hwidong Na and Jinwoo Shin
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
- [C129] Mosaic: Extremely Low-resolution RFID Vision for Visually-anonymized Action Recognition
Seungwoo Shim, Hyeonho Shin, Myeongkyun Cho, Youngki Lee, Jinwoo Shin and Song Min Kim
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2023
- [C128] Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
Jung-hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin and Richard Combes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
- [C126] Everyone’s Voice Matters: Quantifying Annotation Disagreement Using
Demographic Information (arXiv)
Ruyuan Wan, Jaehyung Kim and Dongyeop Kang
AAAI Conference on Artificial Intelligence (AAAI), 2023 Oral Presentation
- [C125] Confidence-aware Training of Smoothed Classifiers for Certified Robustness (arXiv, code)
Jongheon Jeong*, Seojin Kim* and Jinwoo Shin
AAAI Conference on Artificial Intelligence (AAAI), 2023 (based on the preliminary version [W29]) Oral Presentation
- [W37] Modality-Agnostic Variational Compression of Implicit Neural Representations (arXiv)
Jonathan Richard Schwarz*, Jihoon Tack*, Yee Whye Teh, Jaeho Lee, and Jinwoo Shin
ICLR Workshop on Neural Fields across Fields: Methods and Applications of Implicit Neural Representations, 2023
- [W36] Fragment-based Multi-view Molecular Contrastive Learning
Seojin Kim*, Jaehyun Nam*, Junsu Kim, Hankook Lee, Sungsoo Ahn, and Jinwoo Shin
ICLR Workshop on Machine Learning for Materials: From Molecules to Materials, 2023
- [W35] Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations (arXiv)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin and Jonathan Richard Schwarz
ICLR Workshop on Neural Fields across Fields: Methods and Applications of Implicit Neural Representations, 2023
2022
- [W30] Learning Robust Representations via Nuisance-extended Information Bottleneck
Jongheon Jeong, Sihyun Yu, Hankook Lee and Jinwoo Shin
ECCV Workshop on Out-of-distribution Generalization in Computer Vision, 2022 (the newer version [C138] available at CVPR 2023)
- [W29] Confidence-aware Training of Smoothed Classifiers for Certified Robustness
Jongheon Jeong*, Seojin Kim* and Jinwoo Shin
ECCV Workshop on Adversarial Robustness in the Real World, 2022 (the newer version [C125] available at AAAI 2023)
- [W28] OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data (arXiv, code)
Jongjin Park*, Sukmin Yun*, Jongheon Jeong, and Jinwoo Shin
ECCV Workshop on Learning from Limited and Imperfect Data, 2022
2021
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2019
2018
2017
2016
2015
2014
2013
2009 – 2012
- [C2] Delay optimal queue-based CSMA
Devavrat Shah and Jinwoo Shin
ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2010 (short paper)
- [I1] Optimal CSMA: A survey
Se-Young Yun, Yung Yi, Jinwoo Shin and Do Young Eun
IEEE International Conference on Communication Systems (ICCS), 2012
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