Jinwoo Shin

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 294

Top Venues

Publications

Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. ICLR (2024)
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Visual Representation Learning with Stochastic Frame Prediction. CoRR (2024)
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. CoRR (2024)
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
Aligning Large Language Models with Self-generated Preference Data. CoRR (2024)
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. ICLR (2024)
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
Data-Efficient Molecular Generation with Hierarchical Textual Inversion. CoRR (2024)
Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. CoRR (2024)
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. CoRR (2024)
Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. CoRR (2024)
Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin
Improving Diffusion Models for Virtual Try-on. CoRR (2024)
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. ICLR (2024)
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
Direct Consistency Optimization for Compositional Text-to-Image Personalization. CoRR (2024)
Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
Adversarial Robustification via Text-to-Image Diffusion Models. CoRR (2024)
Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. CoRR (2024)
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
Querying Easily Flip-flopped Samples for Deep Active Learning. CoRR (2024)
Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning. CoRR (2024)
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
Online Adaptation of Language Models with a Memory of Amortized Contexts. CoRR (2024)
Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. ICLR (2024)
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
Querying Easily Flip-flopped Samples for Deep Active Learning. ICLR (2024)
Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
Holistic Molecular Representation Learning via Multi-view Fragmentation. Trans. Mach. Learn. Res. 2024 (2024)
Hyunseok Lee, Jihoon Tack, Jinwoo Shin
ReMoDetect: Reward Models Recognize Aligned LLM's Generations. CoRR (2024)
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. ICLR (2024)
Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin
Few-Shot Anomaly Detection via Personalization. IEEE Access 12 (2024)
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. CoRR (2024)
Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow. CoRR (2024)
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
Video Probabilistic Diffusion Models in Projected Latent Space. CoRR (2023)
Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang
NeFL: Nested Federated Learning for Heterogeneous Clients. CoRR (2023)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Learning Large-scale Neural Fields via Context Pruned Meta-Learning. NeurIPS (2023)
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. NeurIPS (2023)
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (2) (2023)
Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training. NeurIPS (2023)
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Collaborative Score Distillation for Consistent Visual Synthesis. CoRR (2023)
Jaehyung Kim, Jinwoo Shin, Dongyeop Kang
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning. ICML (2023)
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
Multi-View Masked World Models for Visual Robotic Manipulation. ICML (2023)
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
Guide Your Agent with Adaptive Multimodal Rewards. NeurIPS (2023)
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Collaborative Score Distillation for Consistent Visual Editing. NeurIPS (2023)
Jaehyung Kim, Jinwoo Shin, Dongyeop Kang
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning. CoRR (2023)
Kisoo Kwon, Kuhwan Jeong, Junghyun Park, Hwidong Na, Jinwoo Shin
String-Based Molecule Generation Via Multi-Decoder VAE. ICASSP (2023)
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
Guiding Energy-based Models via Contrastive Latent Variables. CoRR (2023)
Jongheon Jeong, Seojin Kim, Jinwoo Shin
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. AAAI (2023)
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR (2023)
Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions. CoRR (2023)
Seungwoo Shim, Hyeonho Shin, Myeongkyun Cho, Youngki Lee, Jinwoo Shin, Song Min Kim
Mosaic: Extremely Low-resolution RFID Vision for Visually-anonymized Action Recognition. IPSN (2023)
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. NeurIPS (2023)
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
Preference Transformer: Modeling Human Preferences using Transformers for RL. CoRR (2023)
Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. CVPR (2023)
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
Imitating Graph-Based Planning with Goal-Conditioned Policies. ICLR (2023)
Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
Explaining Visual Biases as Words by Generating Captions. CoRR (2023)
Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions. NeurIPS (2023)
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. ICLR (2023)
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR (2023)
Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models. CoRR (2023)
Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information. ACL (1) (2023)
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
Modality-Agnostic Variational Compression of Implicit Neural Representations. CoRR (2023)
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
Multi-View Masked World Models for Visual Robotic Manipulation. CoRR (2023)
Daewe Kim, Won-Young Lee, Jinwoo Shin, Eung-Hyuk Lee
A Study on the Assistive System for Safe Elevator Get on of Wheelchair Users with Upper Limb Disability. ICEIC (2023)
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
Video Probabilistic Diffusion Models in Projected Latent Space. CVPR (2023)
Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information. CoRR (2023)
Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
Rethinking the Entropy of Instance in Adversarial Training. SaTML (2023)
Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin
IFSeg: Image-free Semantic Segmentation via Vision-Language Model. CVPR (2023)
Huiwon Jang, Hankook Lee, Jinwoo Shin
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning. ICLR (2023)
Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. Trans. Mach. Learn. Res. 2023 (2023)
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. CoRR (2023)
Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access 11 (2023)
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
Guide Your Agent with Adaptive Multimodal Rewards. CoRR (2023)
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. CoRR (2023)
Huiwon Jang, Hankook Lee, Jinwoo Shin
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning. CoRR (2023)
Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin
IFSeg: Image-free Semantic Segmentation via Vision-Language Model. CoRR (2023)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. CoRR (2023)
Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles. AISTATS (2023)
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
Preference Transformer: Modeling Human Preferences using Transformers for RL. ICLR (2023)
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
Modality-Agnostic Variational Compression of Implicit Neural Representations. ICML (2023)
Jongheon Jeong, Jinwoo Shin
Multi-scale Diffusion Denoised Smoothing. NeurIPS (2023)
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. CoRR (2023)
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR (2023)
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
Guiding Energy-based Models via Contrastive Latent Variables. ICLR (2023)
Jongheon Jeong, Jinwoo Shin
Multi-scale Diffusion Denoised Smoothing. CoRR (2023)
Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han
TSPipe: Learn from Teacher Faster with Pipelines. ICML (2022)
Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation. CVPR (2022)
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. ICLR (2022)
Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. ICLR (2022)
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. CoRR (2022)
Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. ICLR (2022)
Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. CVPR (2022)
Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. CoRR (2022)
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. CoRR (2022)
Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin
K-centered Patch Sampling for Efficient Video Recognition. ECCV (35) (2022)
Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
Scalable Neural Video Representations with Learnable Positional Features. NeurIPS (2022)
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Model-augmented Prioritized Experience Replay. ICLR (2022)
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
Patch-level Representation Learning for Self-supervised Vision Transformers. CVPR (2022)
Jongheon Jeong, Seojin Kim, Jinwoo Shin
Confidence-aware Training of Smoothed Classifiers for Certified Robustness. CoRR (2022)
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
Patch-level Representation Learning for Self-supervised Vision Transformers. CoRR (2022)
Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning. ICML (2022)
Seung-Ho Yum, Na-Yeon Park, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee
A Study on Window-based Path Driving through Identifying the Target Walking in an Ultrasonic Sensor-based Follow-up Collaborative Robot. ICEIC (2022)
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. CoRR (2022)
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
Consistency Regularization for Adversarial Robustness. AAAI (2022)
Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. CoRR (2022)
Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, Sung-Ju Lee
Adapting to Unknown Conditions in Learning-Based Mobile Sensing. IEEE Trans. Mob. Comput. 21 (10) (2022)
Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
Scalable Neural Video Representations with Learnable Positional Features. CoRR (2022)
Chaewon Kim, Jaeho Lee, Jinwoo Shin
Zero-shot Blind Image Denoising via Implicit Neural Representations. CoRR (2022)

Jinwoo Shin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jinwoo Shin