Shin, Jinwoo

169 publications

TMLR 2025 CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin

CVPR 2025 Calibrated Multi-Preference Optimization for Aligning Diffusion Models Kyungmin Lee, Xiahong Li, Qifei Wang, Junfeng He, Junjie Ke, Ming-Hsuan Yang, Irfan Essa, Jinwoo Shin, Feng Yang, Yinxiao Li

CVPR 2025 Closest Neighbors Are Harmful for Lightweight Masked Auto-Encoders Jian Meng, Ahmed Hasssan, Li Yang, Deliang Fan, Jinwoo Shin, Jae-sun Seo

NeurIPS 2025 Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki, Kanthashree Mysore Sathyendra, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati

ICLR 2025 Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation Insoo Kim, Hana Lee, Hyong-Euk Lee, Jinwoo Shin

CVPR 2025 Controllable Human Image Generation with Personalized Multi-Garments Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin

ICLR 2025 DiffusionGuard: A Robust Defense Against Malicious Diffusion-Based Image Editing June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

CVPR 2025 Efficient Long Video Tokenization via Coordinate-Based Patch Reconstruction Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo

ICLR 2025 Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee

NeurIPS 2025 MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan O Arik, Tomas Pfister

ICML 2025 PRIME: Deep Imbalanced Regression with Proxies Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin

ICML 2025 Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo

ICML 2025 ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack

ICLRW 2025 ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification Hyunseok Lee, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin

TMLR 2025 RefDeblur: Blind Motion Deblurring with Self-Generated Reference Image Insoo Kim, Geonseok Seo, Hyong-Euk Lee, Jinwoo Shin

ICLR 2025 Representation Alignment for Generation: Training Diffusion Transformers Is Easier than You Think Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie

NeurIPS 2025 Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo

NeurIPS 2025 Self-Refining Language Model Anonymizers via Adversarial Distillation Kyuyoung Kim, Hyunjun Jeon, Jinwoo Shin

TMLR 2025 Sparsified State-Space Models Are Efficient Highway Networks Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin

ICLR 2025 Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim

IJCAI 2025 StarFT: Robust Fine-Tuning of Zero-Shot Models via Spuriosity Alignment Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin

ICLR 2025 Subtask-Aware Visual Reward Learning from Segmented Demonstrations Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J Lim, Kimin Lee

ICML 2025 Test-Time Adaptation with Binary Feedback Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee

NeurIPS 2025 Track3R: Joint Point mAP and Trajectory Prior for Spatiotemporal 3D Understanding Seong Hyeon Park, Jinwoo Shin

ECCV 2024 Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin

NeurIPSW 2024 An Efficient Tokenization for Molecular Language Models Seojin Kim, Jaehyun Nam, Jinwoo Shin

NeurIPS 2024 Conditional Synthesis of 3D Molecules with Time Correction Sampler Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin

TMLR 2024 Confidence-Aware Denoised Fine-Tuning of Off-the-Shelf Models for Certified Robustness Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong

ICLR 2024 Confidence-Aware Reward Optimization for Fine-Tuning Text-to-Image Models Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee

ICML 2024 Data-Efficient Molecular Generation with Hierarchical Textual Inversion Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin

ICMLW 2024 DiffusionGuard: A Robust Defense Against Malicious Diffusion-Based Image Editing June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

NeurIPS 2024 Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin

CVPR 2024 Discovering and Mitigating Visual Biases Through Keyword Explanation Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin

ICLR 2024 DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin

ICLR 2024 Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar

ICLR 2024 Hierarchical Context Merging: Better Long Context Understanding for Pre-Trained LLMs Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

TMLR 2024 Holistic Molecular Representation Learning via Multi-View Fragmentation Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

ECCV 2024 Improving Diffusion Models for Authentic Virtual Try-on in the Wild Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin

NeurIPS 2024 Online Adaptation of Language Models with a Memory of Amortized Contexts Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz

NeurIPS 2024 Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin

ICLR 2024 Querying Easily Flip-Flopped Samples for Deep Active Learning Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo

NeurIPS 2024 ReMoDetect: Reward Models Recognize Aligned LLM's Generations Hyunseok Lee, Jihoon Tack, Jinwoo Shin

CVPR 2024 Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization Insoo Kim, Jae Seok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee

ECCV 2024 Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee

ICLR 2024 SuRe: Summarizing Retrievals Using Answer Candidates for Open-Domain QA of LLMs Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin

NeurIPS 2024 TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon, Sukmin Yun, Paul Hongsuck Seo, Jinwoo Shin

ICML 2024 Visual Representation Learning with Stochastic Frame Prediction Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo

NeurIPS 2023 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo

CVPR 2023 BiasAdv: Bias-Adversarial Augmentation for Model Debiasing Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han

TMLR 2023 Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin

NeurIPS 2023 Collaborative Score Distillation for Consistent Visual Editing Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

ICMLW 2023 Collaborative Score Distillation for Consistent Visual Synthesis Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

AAAI 2023 Confidence-Aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong, Seojin Kim, Jinwoo Shin

AISTATS 2023 Contextual Linear Bandits Under Noisy Features: Towards Bayesian Oracles Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes

NeurIPSW 2023 Data-Efficient Molecular Generation with Hierarchical Textual Inversion Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin

CVPR 2023 Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin

ICMLW 2023 Few-Shot Anomaly Detection via Personalization Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Jinwoo Shin

NeurIPSW 2023 Fine-Tuning Protein Language Models by Ranking Protein Fitness Minji Lee, Kyungmin Lee, Jinwoo Shin

ICLRW 2023 Fragment-Based Multi-View Molecular Contrastive Learning Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

NeurIPS 2023 Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee

ICMLW 2023 Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee

ICLR 2023 Guiding Energy-Based Models via Contrastive Latent Variables Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin

CVPR 2023 IFSeg: Image-Free Semantic Segmentation via Vision-Language Model Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin

ICLR 2023 Imitating Graph-Based Planning with Goal-Conditioned Policies Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin

NeurIPS 2023 Learning Large-Scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz

NeurIPS 2023 Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin

ICML 2023 Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin

NeurIPS 2023 Multi-Scale Diffusion Denoised Smoothing Jongheon Jeong, Jinwoo Shin

ICML 2023 Multi-View Masked World Models for Visual Robotic Manipulation Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel

ICML 2023 Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning Jaehyung Kim, Jinwoo Shin, Dongyeop Kang

ICLR 2023 Preference Transformer: Modeling Human Preferences Using Transformers for RL Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

NeurIPS 2023 S-CLIP: Semi-Supervised Vision-Language Learning Using Few Specialist Captions Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin

ICLR 2023 STUNT: Few-Shot Tabular Learning with Self-Generated Tasks from Unlabeled Tables Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin

ICMLW 2023 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, Jinwoo Shin

NeurIPS 2023 Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo

ICMLW 2023 Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee

ICLR 2023 Unsupervised Meta-Learning via Few-Shot Pseudo-Supervised Contrastive Learning Huiwon Jang, Hankook Lee, Jinwoo Shin

CVPR 2023 Video Probabilistic Diffusion Models in Projected Latent Space Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin

AAAI 2022 Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

CVPR 2022 Contrastive Dual Gating: Learning Sparse Features with Contrastive Learning Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-sun Seo

ICML 2022 Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben D Delos Reyes, Yung Yi, Jinwoo Shin

NeurIPSW 2022 Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization Changyeon Kim, Junsu Kim, Younggyo Seo, Kimin Lee, Honglak Lee, Jinwoo Shin

ICLR 2022 Generating Videos with Dynamics-Aware Implicit Generative Adversarial Networks Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin

ECCV 2022 K-Centered Patch Sampling for Efficient Video Recognition Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin

NeurIPS 2022 Meta-Learning with Self-Improving Momentum Target Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin

ICLR 2022 Model-Augmented Prioritized Experience Replay Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

NeurIPS 2022 NOTE: Robust Continual Test-Time Adaptation Against Temporal Correlation Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee

ECCVW 2022 OpenCoS: Contrastive Semi-Supervised Learning for Handling Open-Set Unlabeled Data Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin

CVPR 2022 Patch-Level Representation Learning for Self-Supervised Vision Transformers Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin

ICLRW 2022 ReMixer: Object-Aware Mixing Layer for Vision Transformers and Mixers Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin

NeurIPS 2022 RényiCL: Contrastive Representation Learning with Skew Rényi Divergence Kyungmin Lee, Jinwoo Shin

NeurIPSW 2022 STUNT: Few-Shot Tabular Learning with Self-Generated Tasks from Unlabeled Tables Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin

ICLR 2022 SURF: Semi-Supervised Reward Learning with Data Augmentation for Feedback-Efficient Preference-Based Reinforcement Learning Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

AAAI 2022 Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

NeurIPS 2022 Scalable Neural Video Representations with Learnable Positional Features Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin

CVPR 2022 Self-Supervised Dense Consistency Regularization for Image-to-Image Translation Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han

ICLR 2022 Spread Spurious Attribute: Improving Worst-Group Accuracy with Spurious Attribute Estimation Junhyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin

ICML 2022 TSPipe: Learn from Teacher Faster with Pipelines Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han

ICML 2022 Time Is MattEr: Temporal Self-Supervision for Video Transformers Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin

NeurIPSW 2022 Unsupervised Meta-Learning via Few-Shot Pseudo-Supervised Contrastive Learning Huiwon Jang, Hankook Lee, Jinwoo Shin

ICLR 2022 What Makes Better Augmentation Strategies? Augment Difficult but Not Too Different Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin

ICLR 2021 $i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee

ICCV 2021 Co2L: Contrastive Continual Learning Hyuntak Cha, Jaeho Lee, Jinwoo Shin

ICMLW 2021 Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

ICMLW 2021 Entropy Weighted Adversarial Training Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang

AAAI 2021 GTA: Graph Truncated Attention for Retrosynthesis Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

NeurIPS 2021 Improving Transferability of Representations via Augmentation-Aware Self-Supervision Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin

NeurIPS 2021 Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsu Kim, Younggyo Seo, Jinwoo Shin

ICLR 2021 Layer-Adaptive Sparsity for the Magnitude-Based Pruning Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

ICML 2021 Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

ICLR 2021 Learning to Sample with Local and Global Contexts in Experience Replay Buffer Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

AAAI 2021 MASKER: Masked Keyword Regularization for Reliable Text Classification Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin

NeurIPS 2021 Meta-Learning Sparse Implicit Neural Representations Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin

ICLR 2021 Minimum Width for Universal Approximation Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin

NeurIPS 2021 Object-Aware Contrastive Learning for Debiased Scene Representation Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin

NeurIPS 2021 Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu

CoRL 2021 Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin

COLT 2021 Provable Memorization via Deep Neural Networks Using Sub-Linear Parameters Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin

CVPR 2021 Quality-Agnostic Image Recognition via Invertible Decoder Insoo Kim, Seungju Han, Ji-won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin

IJCAI 2021 RetCL: A Selection-Based Approach for Retrosynthesis via Contrastive Learning Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2021 RoMA: Robust Model Adaptation for Offline Model-Based Optimization Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin

NeurIPSW 2021 SURF: Semi-Supervised Reward Learning with Data Augmentation for Feedback-Efficient Preference-Based Reinforcement Learning Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

NeurIPS 2021 Scaling Neural Tangent Kernels via Sketching and Random Features Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin

ICML 2021 Self-Improved Retrosynthetic Planning Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin

ICMLW 2021 SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Adversarial Robustness Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Doguk Kim, Jinwoo Shin

NeurIPS 2021 SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Robustness Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin

ICML 2021 State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

ICLR 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator Jongheon Jeong, Jinwoo Shin

ICML 2020 Adversarial Neural Pruning with Latent Vulnerability Suppression Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

NeurIPS 2020 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin

NeurIPS 2020 Consistency Regularization for Certified Robustness of Smoothed Classifiers Jongheon Jeong, Jinwoo Shin

ICML 2020 Context-Aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin

NeurIPS 2020 Distribution Aligning Refinery of Pseudo-Label for Imbalanced Semi-Supervised Learning Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2020 Few-Shot Visual Reasoning with Meta-Analogical Contrastive Learning Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

NeurIPS 2020 Guiding Deep Molecular Optimization with Genetic Exploration Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin

NeurIPS 2020 Learning Bounds for Risk-Sensitive Learning Jaeho Lee, Sejun Park, Jinwoo Shin

ICML 2020 Learning What to Defer for Maximum Independent Sets Sungsoo Ahn, Younggyo Seo, Jinwoo Shin

NeurIPS 2020 Learning from Failure: De-Biasing Classifier from Biased Classifier Junhyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin

ICLR 2020 Lookahead: A Far-Sighted Alternative of Magnitude-Based Pruning Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin

ICLR 2020 Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee

ICML 2020 Polynomial Tensor Sketch for Element-Wise Function of Low-Rank Matrix Insu Han, Haim Avron, Jinwoo Shin

ICML 2020 Self-Supervised Label Augmentation via Input Transformations Hankook Lee, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2020 Time-Reversal Symmetric ODE Network In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2020 Trajectory-Wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel

CVPRW 2019 Incremental Learning with Unlabeled Data in the Wild Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee

ICLR 2019 InstaGAN: Instance-Aware Image-to-Image Translation Sangwoo Mo, Minsu Cho, Jinwoo Shin

AISTATS 2019 Iterative Bayesian Learning for Crowdsourced Regression Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi

ICML 2019 Learning What and Where to Transfer Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2019 Mining GOLD Samples for Conditional GANs Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin

ICML 2019 Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin

ICML 2019 Spectral Approximate Inference Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin

ICML 2019 Training CNNs with Selective Allocation of Channels Jongheon Jeong, Jinwoo Shin

NeurIPS 2018 A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin

ICML 2018 Bucket Renormalization for Approximate Inference Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin

AISTATS 2018 Gauged Mini-Bucket Elimination for Approximate Inference Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller

NeurIPS 2018 Learning to Specialize with Knowledge Distillation for Visual Question Answering Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han

NeurIPS 2018 Stochastic Chebyshev Gradient Descent for Spectral Optimization Insu Han, Haim Avron, Jinwoo Shin

ICLR 2018 Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin

ICML 2017 Confident Multiple Choice Learning Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin

ICML 2017 Faster Greedy MAP Inference for Determinantal Point Processes Insu Han, Prabhanjan Kambadur, Kyoungsoo Park, Jinwoo Shin

NeurIPS 2017 Gauging Variational Inference Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin

AISTATS 2017 Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda

ICML 2016 Optimality of Belief Propagation for Crowdsourced Classification Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi

NeurIPS 2016 Synthesis of MCMC and Belief Propagation Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin

ICML 2015 Large-Scale Log-Determinant Computation Through Stochastic Chebyshev Expansions Insu Han, Dmitry Malioutov, Jinwoo Shin

UAI 2015 Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization Sejun Park, Jinwoo Shin

NeurIPS 2015 Minimum Weight Perfect Matching via Blossom Belief Propagation Sung-Soo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin

NeurIPS 2013 A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles Jinwoo Shin, Andrew E Gelfand, Misha Chertkov

AISTATS 2012 Complexity of Bethe Approximation Jinwoo Shin