Publications
(C: peer-reviewed conference, J: peer-reviewed journal, W: peer-reviewed workshop, I: invited conference, * = equal contributions)
2023
- [C155] S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions (arXiv, code)
Sangwoo Mo, Minkyu Kim, Kyungmin Lee and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
- [C154] Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan and Jae-sun Seo
Conference on Neural Information Processing Systems (NeurIPS), 2023
- [C153] Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Huiwon Jang*, Jihoon Tack*, Daewon Choi, Jongheon Jeong and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
- [C152] Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
- [C151] Learning Large-scale Neural Fields via Context Pruned Meta-Learning (arXiv, code)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin and Jonathan Richard Schwarz
Conference on Neural Information Processing Systems (NeurIPS), 2023 (based on the preliminary version [W35])
- [C150] Guide Your Agent with Adaptive Multimodal Rewards (arXiv, code, site)
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee and Kimin Lee
Conference on Neural Information Processing Systems (NeurIPS), 2023 (based on the preliminary version [W42])
- [C149] Diffusion Probabilistic Models for Structured Node Classification (arXiv, code)
Hyosoon Jang, Seonghyun Park, Sangwoo Mo and Sungsoo Ahn
Conference on Neural Information Processing Systems (NeurIPS), 2023 (based on the preliminary version [W40])
- [C148] Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim*, Kyungmin Lee*, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
- [C147] Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel and Younggyo Seo
Conference on Neural Information Processing Systems (NeurIPS), 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
- [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
- [J30] Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling (arXiv)
Junhyun Nam, Sangwoo Mo, Jaeho Lee and Jinwoo Shin
Transactions on Machine Learning Research (TMLR), 2023 (based on the preliminary version [W44])
- [W45] Bias-to-Text: Debiasing Unknown Visual Biases by Language Interpretation (arXiv, code)
Younghyun Kim*, Sangwoo Mo*, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
ICML Workshop on Spurious Correlations, Invariance and Stability, 2023
- [W44] Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling (arXiv)
Junhyun Nam, Sangwoo Mo, Jaeho Lee and Jinwoo Shin
ICML Workshop on Spurious Correlations, Invariance and Stability, 2023 (the newer version [J30] available at Transactions on Machine Learning Research)
- [W43] Semi-supervised Tabular Classification via In-context Learning of Large Language Models
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, and Jinwoo Shin
ICML Workshop on Efficient Systems for Foundation Models, 2023
- [W42] Guide Your Agent with Adaptive Multimodal Rewards
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, and Kimin Lee
ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 (the newer version [C150] available at NeurIPS 2023)
- [W41] Few-shot Anomaly Detection via Personalization
Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, and Jinwoo Shin
ICML Workshop on New Frontiers in Adversarial Machine Learning, 2023
- [W40] Diffusion Probabilistic Models for Structured Node Classification (arXiv, code)
Hyosoon Jang, Seonghyun Park, Sangwoo Mo and Sungsoo Ahn
ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023 (the newer version [C149] available at NeurIPS 2023)
- [W39] Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim*, Kyungmin Lee*, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, and Jinwoo Shin
ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023
- [W38] Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models
Sanghyun Kim, Seohyeon Jung, Balhae Kim Kim, Moonseok Choi Choi, Jinwoo Shin and Juho Lee
ICML Workshop on Deployable Generative AI, 2023
- [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 (the newer version [C151] available at NeurIPS 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
2020
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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