Publications
(C: peer-reviewed conference, J: peer-reviewed journal, W: peer-reviewed workshop, I: invited conference, * = equal contributions)
2024
- [C178] TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation
Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon, Sukmin Yun, Paul Hongsuck Seo and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2024 Spotlight Presentation
- [C177] ReMoDetect: Reward Models Recognize Aligned LLM's Generations (arXiv, code, site)
Hyunseok Lee*, Jihoon Tack* and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2024
- [C176] Online Adaptation of Language Models with a Memory of Amortized Contexts (arXiv, code, site)
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh and Jonathan Richard Schwarz
Conference on Neural Information Processing Systems (NeurIPS), 2024
- [C175] Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning (arXiv)
Jaehyun Nam*, Kyuyoung Kim*, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2024
- [C174] Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models (arXiv, code, site)
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2024
- [C173] Conditional Synthesis of 3D Molecules with Time Correction Sampler
Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun and Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2024
- [C172] Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback
Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin and Kimin Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 (findings)
- [C171] Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin and Juho Lee
European Conference on Computer Vision (ECCV), 2024
- [C170] Improving Diffusion Models for Authentic Virtual Try-on in the Wild (arXiv, code, site)
Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi and Jinwoo Shin
European Conference on Computer Vision (ECCV), 2024
- [C169] Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi*, Jongheon Jeong*, Huiwon Jang, Jinwoo Shin
European Conference on Computer Vision (ECCV), 2024 Oral Presentation
- [C168] Tabular Transfer Learning via Prompting LLMs
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, and Jinwoo Shin
Conference on Language Modeling (COLM), 2024 (based on the preliminary version [W43])
- [C167] Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
International Conference on Machine Learning (ICML), 2024
- [C166] Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz and Ying Wei
International Conference on Machine Learning (ICML), 2024
- [C165] Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
International Conference on Machine Learning (ICML), 2024 (based on the preliminary version [W48])
- [C164] Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
Insoo Kim, Jae Seok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin and Hyong-Euk Lee
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
- [C163] Discovering and Mitigating Visual Biases through Keyword Explanation (arXiv, code)
Younghyun Kim*, Sangwoo Mo*, Minkyu Kim, Kyungmin Lee, Jaeho Lee and Jinwoo Shin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (based on the preliminary version [W45]) Highlight (324/11532=2.8%)
- [W49] MC^2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering (site)
Subin Kim*, Seong Hyeon Park*, Sihyun Yu, Kihyuk Sohn, and Jinwoo Shin
CVPR Workshop on Neural Rendering Intelligence, 2024
2023
- [C147] RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training (arXiv, code)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang and Madian Khabsa
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 (findings)
- [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])
- [W48] Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin and Jinwoo Shin
NeurIPS Workshop on New Frontiers of AI for Drug Discovery and Development, 2023 (the newer version [C165] available at ICML 2024)
- [W47] Fine-tuning protein Language Models by ranking protein fitness
Minji Lee, Kyungmin Lee and Jinwoo Shin
NeurIPS Workshop on Generative AI and Biology (GenBio), 2023
- [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 (the newer version [C163] available at CVPR 2024)
- [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 (the newer version [C168] available at COLM 2024)
- [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 [C151] 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 (the newer version [J31] available at IEEE Access)
- [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 [C150] 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 (the newer version [C149] available at NeurIPS 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 (the newer version [J32] available at Transactions on Machine Learning Research)
- [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 [C152] 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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