Jinwoo Shin

431 papers A* 142A 7B 6Misc 6Journal 235Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Correctness: Learning Robust Reasoning via Transfer.
CoRR
Hyunseok Lee, Soheil Abbasloo, Jihoon Tack, Jinwoo Shin
2026 J jnl
Cog3DMap: Multi-View Vision-Language Reasoning with 3D Cognitive Maps.
CoRR
Chanyoung Gwak, Yoonwoo Jeong, Byungwoo Jeon, Hyunseok Lee, Jinwoo Shin, Minsu Cho
2026 J jnl
RedacBench: Can AI Erase Your Secrets?
CoRR
Hyunjun Jeon, Kyuyoung Kim, Jinwoo Shin
2026 J jnl
RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models.
CoRR
Dongyoung Kim, Sumin Park, Woomin Song, Seungku Kim, TaeYoung Kim, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo
2026 J jnl
RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning.
CoRR
Seungku Kim, Suhyeok Jang, Byungjun Yoon, Dongyoung Kim, John Won, Jinwoo Shin
2026 J jnl
SpatialBoost: Enhancing Visual Representation through Language-Guided Reasoning.
CoRR
Byungwoo Jeon, Dongyoung Kim, Huiwon Jang, Insoo Kim, Jinwoo Shin
2026 J jnl
Vision-aligned Latent Reasoning for Multi-modal Large Language Model.
CoRR
Byungwoo Jeon, Yoonwoo Jeong, Hyunseok Lee, Minsu Cho, Jinwoo Shin
2025 — conf
A Comparative Security Analysis of Storage-Integrated Web Applications in Heterogeneous Cloud Environments.
SNAMS
Dasol Kim, Jinwoo Shin, Dongwon Kang, Jiyeon Kim
2025 J jnl
A Definition of AGI.
CoRR
Dan Hendrycks, Dawn Song, Christian Szegedy, Honglak Lee, Yarin Gal, Erik Brynjolfsson, Sharon Li, Andy Zou, Lionel Levine, Bo Han, Jie Fu, Ziwei Liu, Jinwoo Shin, Kimin Lee, Mantas Mazeika, Long Phan, George Ingebretsen, Adam Khoja, Cihang Xie, Olawale Salaudeen, Matthias Hein, Kevin Zhao, Alexander Pan, David Duvenaud, Bo Li, Steve Omohundro, Gabriel Alfour, Max Tegmark, Kevin McGrew, Gary Marcus, Jaan Tallinn, Eric Schmidt, Yoshua Bengio
2025 A* conf
Accelerated Test-Time Scaling with Model-Free Speculative Sampling.
EMNLP
Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 J jnl
Accelerated Test-Time Scaling with Model-Free Speculative Sampling.
CoRR
Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 J jnl
CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection.
CoRR
Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin
2025 J jnl
CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection.
Trans. Mach. Learn. Res.
Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin
2025 A* conf
Calibrated Multi-Preference Optimization for Aligning Diffusion Models.
CVPR
Kyungmin Lee, Xiahong Li, Qifei Wang, Junfeng He, Junjie Ke, Ming-Hsuan Yang, Irfan Essa, Jinwoo Shin, Feng Yang, Yinxiao Li
2025 J jnl
Calibrated Multi-Preference Optimization for Aligning Diffusion Models.
CoRR
Kyungmin Lee, Xiaohang Li, Qifei Wang, Junfeng He, Junjie Ke, Ming-Hsuan Yang, Irfan Essa, Jinwoo Shin, Feng Yang, Yinxiao Li
2025 A* conf
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders.
CVPR
Jian Meng, Ahmed Hassan, Li Yang, Deliang Fan, Jinwoo Shin, Jae-sun Seo
2025 J jnl
Collaborative LLM Inference via Planning for Efficient Reasoning.
CoRR
Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Jinwoo Shin
2025 J jnl
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers.
CoRR
Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki, Kanthashree Mysore Sathyendra, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati
2025 J jnl
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context.
CoRR
Huiwon Jang, Sihyun Yu, Heeseung Kwon, Hojin Jeon, Younggyo Seo, Jinwoo Shin
2025 J jnl
Contrastive Representation Regularization for Vision-Language-Action Models.
CoRR
TaeYoung Kim, Jimin Lee, Myungkyu Koo, Dongyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin
2025 A* conf
Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation.
ICLR
Insoo Kim, Hana Lee, Hyong-Euk Lee, Jinwoo Shin
2025 A* conf
Controllable Human Image Generation with Personalized Multi-Garments.
CVPR
Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin
2025 — conf
Debiasing Online Preference Learning via Preference Feature Preservation.
ACL (Findings)
Dongyoung Kim, Jinsung Yoon, Jinwoo Shin, Jaehyung Kim
2025 J jnl
Debiasing Online Preference Learning via Preference Feature Preservation.
CoRR
Dongyoung Kim, Jinsung Yoon, Jinwoo Shin, Jaehyung Kim
2025 J jnl
Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling.
CoRR
Kyungmin Lee, Sihyun Yu, Jinwoo Shin
2025 A* conf
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.
ICLR
June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2025 J jnl
Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model.
CoRR
John Won, Kyungmin Lee, Huiwon Jang, Dongyoung Kim, Jinwoo Shin
2025 A* conf
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.
CVPR
Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2025 J jnl
Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance.
CoRR
June Suk Choi, Kyungmin Lee, Sihyun Yu, Yisol Choi, Jinwoo Shin, Kimin Lee
2025 J jnl
FontAdapter: Instant Font Adaptation in Visual Text Generation.
CoRR
Myungkyu Koo, Subin Kim, Sangkyung Kwak, Jaehyun Nam, Seojin Kim, Jinwoo Shin
2025 J jnl
HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy.
CoRR
Myungkyu Koo, Daewon Choi, TaeYoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin
2025 J jnl
Hierarchical Vision Language Action Model Using Success and Failure Demonstrations.
CoRR
Jeongeun Park, Jihwan Yoon, Byungwoo Jeon, Juhan Park, Jinwoo Shin, Namhoon Cho, Kyungjae Lee, Sangdoo Yun, Sungjoon Choi
2025 J jnl
Learning Multi-frame and Monocular Prior for Estimating Geometry in Dynamic Scenes.
CoRR
Seong Hyeon Park, Jinwoo Shin
2025 A* conf
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents.
ICLR
Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
2025 J jnl
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents.
CoRR
Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
2025 J jnl
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation.
CoRR
Sihyun Yu, Meera Hahn, Dan Kondratyuk, Jinwoo Shin, Agrim Gupta, José Lezama, Irfan Essa, David A. Ross, Jonathan Huang
2025 J jnl
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement.
CoRR
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Ö. Arik, Tomas Pfister
2025 — conf
Mamba Drafters for Speculative Decoding.
EMNLP (Findings)
Daewon Choi, Seunghyuk Oh, Saket Dingliwal, Jihoon Tack, Kyuyoung Kim, Woomin Song, Seojin Kim, Insu Han, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati
2025 J jnl
Mamba Drafters for Speculative Decoding.
CoRR
Daewon Choi, Seunghyuk Oh, Saket Dingliwal, Jihoon Tack, Kyuyoung Kim, Woomin Song, Seojin Kim, Insu Han, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati
2025 J jnl
NeFL: Nested Model Scaling for Federated Learning With System Heterogeneous Clients.
IEEE Trans. Mob. Comput.
Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang
2025 A* conf
PRIME: Deep Imbalanced Regression with Proxies.
ICML
Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin
2025 J jnl
Parallel Key-Value Cache Fusion for Position Invariant RAG.
CoRR
Philhoon Oh, Jinwoo Shin, James Thorne
2025 J jnl
Peri-LN: Revisiting Layer Normalization in the Transformer Architecture.
CoRR
Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo
2025 A* conf
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture.
ICML
Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo
2025 A* conf
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging.
EMNLP
Kyuyoung Kim, Jinwoo Shin, Jaehyung Kim
2025 J jnl
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging.
CoRR
Kyuyoung Kim, Jinwoo Shin, Jaehyung Kim
2025 J jnl
ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search.
CoRR
Hyunseok Lee, Jeonghoon Kim, Beomjun Kim, Jihoon Tack, Chansong Jo, Jaehong Lee, Cheonbok Park, Sookyo In, Jinwoo Shin, Kang Min Yoo
2025 A* conf
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification.
ICML
Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack
2025 J jnl
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification.
CoRR
Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack
2025 J jnl
RefDeblur: Blind Motion Deblurring with Self-Generated Reference Image.
Trans. Mach. Learn. Res.
Insoo Kim, Geonseok Seo, Hyong-Euk Lee, Jinwoo Shin
2025 A* conf
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
ICLR
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2025 J jnl
Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation.
CoRR
Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve, Yiran Xu, Difan Liu, Jinwoo Shin, Tobias Hinz
2025 J jnl
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics.
CoRR
Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo
2025 J jnl
Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions.
CoRR
Junbeom Kim, Kyuyoung Kim, Jihoon Tack, Dongha Lim, Jinwoo Shin
2025 J jnl
Self-Refining Language Model Anonymizers via Adversarial Distillation.
CoRR
Kyuyoung Kim, Hyunjun Jeon, Jinwoo Shin
2025 J jnl
Sparsified State-Space Models are Efficient Highway Networks.
CoRR
Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin
2025 J jnl
Sparsified State-Space Models are Efficient Highway Networks.
Trans. Mach. Learn. Res.
Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin
2025 A* conf
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment.
ICLR
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
2025 A* conf
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment.
IJCAI
Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin
2025 J jnl
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment.
CoRR
Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin
2025 A* conf
Subtask-Aware Visual Reward Learning from Segmented Demonstrations.
ICLR
Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee
2025 J jnl
Subtask-Aware Visual Reward Learning from Segmented Demonstrations.
CoRR
Changyeon Kim, Minho Heo, Doohyun Lee, Jinwoo Shin, Honglak Lee, Joseph J. Lim, Kimin Lee
2025 A* conf
Test-Time Adaptation with Binary Feedback.
ICML
Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee
2025 J jnl
Test-Time Adaptation with Binary Feedback.
CoRR
Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee
2025 — conf
Think Clearly: Improving Reasoning via Redundant Token Pruning.
EMNLP (Findings)
Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 J jnl
Think Clearly: Improving Reasoning via Redundant Token Pruning.
CoRR
Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati
2025 — conf
Training Text-to-Molecule Models with Context-Aware Tokenization.
EMNLP (Findings)
Seojin Kim, Hyeontae Song, Jaehyun Nam, Jinwoo Shin
2025 J jnl
Training Text-to-Molecule Models with Context-Aware Tokenization.
CoRR
Seojin Kim, Hyeontae Song, Jaehyun Nam, Jinwoo Shin
2025 — conf
Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling.
ICCVW
Subin Kim, Seoung Wug Oh, Jui-Hsien Wang, Joon-Young Lee, Jinwoo Shin
2025 J jnl
Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling.
CoRR
Subin Kim, Seoung Wug Oh, Jui-Hsien Wang, Joon-Young Lee, Jinwoo Shin
2025 J jnl
Verifier-free Test-Time Sampling for Vision Language Action Models.
CoRR
Suhyeok Jang, Dongyoung Kim, Changyeon Kim, Youngsuk Kim, Jinwoo Shin
2024 — conf
Adversarial Robustification via Text-to-Image Diffusion Models.
ECCV (81)
Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
2024 J jnl
Adversarial Robustification via Text-to-Image Diffusion Models.
CoRR
Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
2024 J jnl
Aligning Large Language Models with Self-generated Preference Data.
CoRR
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
2024 A* conf
Conditional Synthesis of 3D Molecules with Time Correction Sampler.
NeurIPS
Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin
2024 J jnl
Conditional Synthesis of 3D Molecules with Time Correction Sampler.
CoRR
Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin
2024 J jnl
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness.
CoRR
Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong
2024 J jnl
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness.
Trans. Mach. Learn. Res.
Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong
2024 A* conf
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.
ICLR
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee
2024 J jnl
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.
CoRR
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
2024 J jnl
Controllable Human Image Generation with Personalized Multi-Garments.
CoRR
Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin
2024 A* conf
Data-Efficient Molecular Generation with Hierarchical Textual Inversion.
ICML
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
2024 J jnl
Data-Efficient Molecular Generation with Hierarchical Textual Inversion.
CoRR
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
2024 J jnl
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.
CoRR
June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2024 J jnl
Direct Consistency Optimization for Compositional Text-to-Image Personalization.
CoRR
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
2024 A* conf
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models.
NeurIPS
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
2024 A* conf
Discovering and Mitigating Visual Biases Through Keyword Explanation.
CVPR
Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
2024 J jnl
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow.
CoRR
Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
2024 A* conf
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow.
ICLR
Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
2024 J jnl
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.
CoRR
Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2024 A* conf
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.
ICLR
Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar
2024 J jnl
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.
CoRR
Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar
2024 J jnl
Few-Shot Anomaly Detection via Personalization.
IEEE Access
Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin
2024 A* conf
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.
ICLR
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
2024 J jnl
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.
CoRR
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
2024 J jnl
Holistic Molecular Representation Learning via Multi-view Fragmentation.
Trans. Mach. Learn. Res.
Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
2024 — conf
Improving Diffusion Models for Authentic Virtual Try-on in the Wild.
ECCV (86)
Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin
2024 J jnl
Improving Diffusion Models for Virtual Try-on.
CoRR
Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin
2024 — conf
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback.
EMNLP (Findings)
Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee
2024 J jnl
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback.
CoRR
Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee
2024 A* conf
Online Adaptation of Language Models with a Memory of Amortized Contexts.
NeurIPS
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 J jnl
Online Adaptation of Language Models with a Memory of Amortized Contexts.
CoRR
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 A* conf
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.
NeurIPS
Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
2024 J jnl
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.
CoRR
Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
2024 A* conf
Querying Easily Flip-flopped Samples for Deep Active Learning.
ICLR
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
2024 J jnl
Querying Easily Flip-flopped Samples for Deep Active Learning.
CoRR
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
2024 A* conf
ReMoDetect: Reward Models Recognize Aligned LLM's Generations.
NeurIPS
Hyunseok Lee, Jihoon Tack, Jinwoo Shin
2024 J jnl
ReMoDetect: Reward Models Recognize Aligned LLM's Generations.
CoRR
Hyunseok Lee, Jihoon Tack, Jinwoo Shin
2024 A* conf
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization.
CVPR
Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee
2024 J jnl
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization.
CoRR
Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee
2024 J jnl
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
CoRR
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2024 — conf
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion.
ECCV (67)
Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2024 J jnl
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion.
CoRR
Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2024 J jnl
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models.
CoRR
Sanghyun Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2024 A* conf
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.
ICLR
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
2024 J jnl
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.
CoRR
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
2024 J jnl
Tabular Transfer Learning via Prompting LLMs.
CoRR
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, Jinwoo Shin
2024 A* conf
TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation.
NeurIPS
Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon, Sukmin Yun, Paul Hongsuck Seo, Jinwoo Shin
2024 A* conf
Visual Representation Learning with Stochastic Frame Prediction.
ICML
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2024 J jnl
Visual Representation Learning with Stochastic Frame Prediction.
CoRR
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2023 — conf
A Study on the Assistive System for Safe Elevator Get on of Wheelchair Users with Upper Limb Disability.
ICEIC
Daewe Kim, Won-Young Lee, Jinwoo Shin, Eung-Hyuk Lee
2023 A* conf
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration.
NeurIPS
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2023 J jnl
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration.
CoRR
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2023 A* conf
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing.
CVPR
Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han
2023 J jnl
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling.
Trans. Mach. Learn. Res.
Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
2023 A* conf
Collaborative Score Distillation for Consistent Visual Editing.
NeurIPS
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
2023 J jnl
Collaborative Score Distillation for Consistent Visual Synthesis.
CoRR
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
2023 A* conf
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness.
AAAI
Jongheon Jeong, Seojin Kim, Jinwoo Shin
2023 A conf
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles.
AISTATS
Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes
2023 J jnl
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
2023 J jnl
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization.
IEEE Access
Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2023 J jnl
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations.
CoRR
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023 A* conf
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck.
CVPR
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023 J jnl
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck.
CoRR
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023 J jnl
Explaining Visual Biases as Words by Generating Captions.
CoRR
Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
2023 A* conf
Guide Your Agent with Adaptive Multimodal Rewards.
NeurIPS
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
2023 J jnl
Guide Your Agent with Adaptive Multimodal Rewards.
CoRR
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
2023 A* conf
Guiding Energy-based Models via Contrastive Latent Variables.
ICLR
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023 J jnl
Guiding Energy-based Models via Contrastive Latent Variables.
CoRR
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023 A* conf
IFSeg: Image-free Semantic Segmentation via Vision-Language Model.
CVPR
Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin
2023 J jnl
IFSeg: Image-free Semantic Segmentation via Vision-Language Model.
CoRR
Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin
2023 A* conf
Imitating Graph-Based Planning with Goal-Conditioned Policies.
ICLR
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
2023 J jnl
Imitating Graph-Based Planning with Goal-Conditioned Policies.
CoRR
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
2023 A* conf
Learning Large-scale Neural Fields via Context Pruned Meta-Learning.
NeurIPS
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023 A* conf
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder.
NeurIPS
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
2023 J jnl
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder.
CoRR
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
2023 A* conf
Modality-Agnostic Variational Compression of Implicit Neural Representations.
ICML
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
2023 J jnl
Modality-Agnostic Variational Compression of Implicit Neural Representations.
CoRR
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
2023 — conf
Mosaic: Extremely Low-resolution RFID Vision for Visually-anonymized Action Recognition.
IPSN
Seungwoo Shim, Hyeonho Shin, Myeongkyun Cho, Youngki Lee, Jinwoo Shin, Song Min Kim
2023 A* conf
Multi-View Masked World Models for Visual Robotic Manipulation.
ICML
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
2023 J jnl
Multi-View Masked World Models for Visual Robotic Manipulation.
CoRR
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
2023 A* conf
Multi-scale Diffusion Denoised Smoothing.
NeurIPS
Jongheon Jeong, Jinwoo Shin
2023 J jnl
Multi-scale Diffusion Denoised Smoothing.
CoRR
Jongheon Jeong, Jinwoo Shin
2023 J jnl
NeFL: Nested Federated Learning for Heterogeneous Clients.
CoRR
Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang
2023 A* conf
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning.
ICML
Jaehyung Kim, Jinwoo Shin, Dongyeop Kang
2023 J jnl
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning.
CoRR
Jaehyung Kim, Jinwoo Shin, Dongyeop Kang
2023 A* conf
Preference Transformer: Modeling Human Preferences using Transformers for RL.
ICLR
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2023 J jnl
Preference Transformer: Modeling Human Preferences using Transformers for RL.
CoRR
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2023 — conf
Rethinking the Entropy of Instance in Adversarial Training.
SaTML
Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
2023 A* conf
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions.
NeurIPS
Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
2023 J jnl
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions.
CoRR
Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin
2023 A* conf
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables.
ICLR
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
2023 J jnl
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables.
CoRR
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
2023 A* conf
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training.
NeurIPS
Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo
2023 Misc conf
String-Based Molecule Generation Via Multi-Decoder VAE.
ICASSP
Kisoo Kwon, Kuhwan Jeong, Junghyun Park, Hwidong Na, Jinwoo Shin
2023 J jnl
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models.
CoRR
Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
2023 J jnl
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning.
CoRR
Huiwon Jang, Hankook Lee, Jinwoo Shin
2023 A* conf
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning.
ICLR
Huiwon Jang, Hankook Lee, Jinwoo Shin
2023 A* conf
Video Probabilistic Diffusion Models in Projected Latent Space.
CVPR
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
2023 J jnl
Video Probabilistic Diffusion Models in Projected Latent Space.
CoRR
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
2023 — conf
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information.
ACL (1)
Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang
2023 J jnl
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information.
CoRR
Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang
2022 — conf
A Study on Window-based Path Driving through Identifying the Target Walking in an Ultrasonic Sensor-based Follow-up Collaborative Robot.
ICEIC
Seung-Ho Yum, Na-Yeon Park, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee
2022 J jnl
Adapting to Unknown Conditions in Learning-Based Mobile Sensing.
IEEE Trans. Mob. Comput.
Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, Sung-Ju Lee
2022 J jnl
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling.
CoRR
Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
2022 J jnl
Confidence-aware Training of Smoothed Classifiers for Certified Robustness.
CoRR
Jongheon Jeong, Seojin Kim, Jinwoo Shin
2022 A* conf
Consistency Regularization for Adversarial Robustness.
AAAI
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2022 A* conf
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning.
CVPR
Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-sun Seo
2022 A* conf
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning.
ICML
Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin
2022 A* conf
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.
ICLR
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
2022 J jnl
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.
CoRR
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
2022 — conf
K-centered Patch Sampling for Efficient Video Recognition.
ECCV (35)
Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin
2022 A* conf
Meta-Learning with Self-Improving Momentum Target.
NeurIPS
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
2022 J jnl
Meta-Learning with Self-Improving Momentum Target.
CoRR
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
2022 A* conf
Model-augmented Prioritized Experience Replay.
ICLR
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2022 A* conf
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation.
NeurIPS
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
2022 J jnl
OAMixer: Object-aware Mixing Layer for Vision Transformers.
CoRR
Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin
2022 — conf
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data.
ECCV Workshops (2)
Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin
2022 A* conf
Patch-level Representation Learning for Self-supervised Vision Transformers.
CVPR
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
2022 J jnl
Patch-level Representation Learning for Self-supervised Vision Transformers.
CoRR
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
2022 J jnl
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory.
CoRR
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
2022 A* conf
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence.
NeurIPS
Kyungmin Lee, Jinwoo Shin
2022 J jnl
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence.
CoRR
Kyungmin Lee, Jinwoo Shin
2022 A* conf
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
ICLR
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2022 J jnl
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
CoRR
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2022 A* conf
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing.
AAAI
Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2022 A* conf
Scalable Neural Video Representations with Learnable Positional Features.
NeurIPS
Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
2022 J jnl
Scalable Neural Video Representations with Learnable Positional Features.
CoRR
Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
2022 A* conf
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation.
CVPR
Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han
2022 A* conf
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.
ICLR
Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
2022 J jnl
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.
CoRR
Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
2022 J jnl
String-based Molecule Generation via Multi-decoder VAE.
CoRR
Kisoo Kwon, Kuhwan Jung, Junghyun Park, Hwidong Na, Jinwoo Shin
2022 A* conf
TSPipe: Learn from Teacher Faster with Pipelines.
ICML
Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han
2022 A* conf
Time Is MattEr: Temporal Self-supervision for Video Transformers.
ICML
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
2022 J jnl
Time Is MattEr: Temporal Self-supervision for Video Transformers.
CoRR
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
2022 A* conf
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different.
ICLR
Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin
2022 J jnl
Zero-shot Blind Image Denoising via Implicit Neural Representations.
CoRR
Chaewon Kim, Jaeho Lee, Jinwoo Shin
2021 J jnl
Abstract Reasoning via Logic-guided Generation.
CoRR
Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021 A* conf
Co
ICCV
Hyuntak Cha, Jaeho Lee, Jinwoo Shin
2021 J jnl
Co
CoRR
Hyuntak Cha, Jaeho Lee, Jinwoo Shin
2021 J jnl
Consistency Regularization for Adversarial Robustness.
CoRR
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2021 J jnl
Consistency and Monotonicity Regularization for Neural Knowledge Tracing.
CoRR
Seewoo Lee, Youngduck Choi, Juneyoung Park, Byungsoo Kim, Jinwoo Shin
2021 J jnl
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing.
CoRR
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
2021 Misc conf
Elastic Resource Sharing for Distributed Deep Learning.
NSDI
Changho Hwang, Taehyun Kim, Sunghyun Kim, Jinwoo Shin, KyoungSoo Park
2021 J jnl
Field Experiment of Photonic Radar for Low-RCS Target Detection and High-Resolution Image Acquisition.
IEEE Access
Youngseok Bae, Jinwoo Shin, Sang-Gug Lee, Hoon Kim
2021 A* conf
GTA: Graph Truncated Attention for Retrosynthesis.
AAAI
Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2021 A* conf
Improving Transferability of Representations via Augmentation-Aware Self-Supervision.
NeurIPS
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
2021 J jnl
Improving Transferability of Representations via Augmentation-Aware Self-Supervision.
CoRR
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
2021 A* conf
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning.
NeurIPS
Junsu Kim, Younggyo Seo, Jinwoo Shin
2021 J jnl
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning.
CoRR
Junsu Kim, Younggyo Seo, Jinwoo Shin
2021 A* conf
Layer-adaptive Sparsity for the Magnitude-based Pruning.
ICLR
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021 A* conf
Learning to Generate Noise for Multi-Attack Robustness.
ICML
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
2021 A* conf
Learning to Sample with Local and Global Contexts in Experience Replay Buffer.
ICLR
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2021 A* conf
MASKER: Masked Keyword Regularization for Reliable Text Classification.
AAAI
Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2021 A* conf
Meta-Learning Sparse Implicit Neural Representations.
NeurIPS
Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
2021 J jnl
Meta-Learning Sparse Implicit Neural Representations.
CoRR
Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
2021 A* conf
Minimum Width for Universal Approximation.
ICLR
Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin
2021 J jnl
Model-Augmented Q-learning.
CoRR
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2021 A* conf
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.
NeurIPS
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021 J jnl
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.
CoRR
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021 A* conf
Object-aware Contrastive Learning for Debiased Scene Representation.
NeurIPS
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
2021 J jnl
Object-aware Contrastive Learning for Debiased Scene Representation.
CoRR
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
2021 Misc conf
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.
CoRL
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
2021 J jnl
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.
CoRR
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
2021 J jnl
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data.
CoRR
Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin
2021 A* conf
Provable Memorization via Deep Neural Networks using Sub-linear Parameters.
COLT
Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin
2021 A* conf
Quality-Agnostic Image Recognition via Invertible Decoder.
CVPR
Insoo Kim, Seungju Han, Ji-Won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin
2021 J jnl
Random Features for the Neural Tangent Kernel.
CoRR
Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
2021 A* conf
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning.
IJCAI
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2021 J jnl
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning.
CoRR
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin
2021 A* conf
RoMA: Robust Model Adaptation for Offline Model-based Optimization.
NeurIPS
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
2021 J jnl
RoMA: Robust Model Adaptation for Offline Model-based Optimization.
CoRR
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
2021 J jnl
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing.
CoRR
Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2021 A* conf
Scaling Neural Tangent Kernels via Sketching and Random Features.
NeurIPS
Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
2021 J jnl
Scaling Neural Tangent Kernels via Sketching and Random Features.
CoRR
Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
2021 A* conf
Self-Improved Retrosynthetic Planning.
ICML
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
2021 J jnl
Self-Improved Retrosynthetic Planning.
CoRR
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
2021 A* conf
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness.
NeurIPS
Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
2021 J jnl
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness.
CoRR
Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
2021 A* conf
State Entropy Maximization with Random Encoders for Efficient Exploration.
ICML
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2021 J jnl
State Entropy Maximization with Random Encoders for Efficient Exploration.
CoRR
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2021 A* conf
Training GANs with Stronger Augmentations via Contrastive Discriminator.
ICLR
Jongheon Jeong, Jinwoo Shin
2021 J jnl
Training GANs with Stronger Augmentations via Contrastive Discriminator.
CoRR
Jongheon Jeong, Jinwoo Shin
2021 A* conf
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning.
ICLR
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
2020 J jnl
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning.
CoRR
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2020 A* conf
Adversarial Neural Pruning with Latent Vulnerability Suppression.
ICML
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
2020 A* conf
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances.
NeurIPS
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
2020 J jnl
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances.
CoRR
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
2020 A* conf
Consistency Regularization for Certified Robustness of Smoothed Classifiers.
NeurIPS
Jongheon Jeong, Jinwoo Shin
2020 J jnl
Consistency Regularization for Certified Robustness of Smoothed Classifiers.
CoRR
Jongheon Jeong, Jinwoo Shin
2020 A* conf
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.
ICML
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
2020 J jnl
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.
CoRR
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
2020 — conf
DiscFace: Minimum Discrepancy Learning for Deep Face Recognition.
ACCV (5)
Insoo Kim, Seungju Han, Seong-Jin Park, Ji-Won Baek, Jinwoo Shin, Jae-Joon Han, Changkyu Choi
2020 A* conf
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.
NeurIPS
Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020 J jnl
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.
CoRR
Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020 J jnl
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures.
IEEE/ACM Trans. Netw.
Seokhyun Kim, Kimin Lee, Yeonkeun Kim, Jinwoo Shin, Seungwon Shin, Song Chong
2020 A* conf
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning.
NeurIPS
Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020 J jnl
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning.
CoRR
Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020 J jnl
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.
CoRR
Sangwoo Mo, Minsu Cho, Jinwoo Shin
2020 A* conf
Guiding Deep Molecular Optimization with Genetic Exploration.
NeurIPS
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
2020 J jnl
Guiding Deep Molecular Optimization with Genetic Exploration.
CoRR
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
2020 J jnl
Information Source Finding in Networks: Querying With Budgets.
IEEE/ACM Trans. Netw.
Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi
2020 J jnl
Information Source Finding in Networks: Querying with Budgets.
CoRR
Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi
2020 A* conf
Learning Bounds for Risk-sensitive Learning.
NeurIPS
Jaeho Lee, Sejun Park, Jinwoo Shin
2020 J jnl
Learning Bounds for Risk-sensitive Learning.
CoRR
Jaeho Lee, Sejun Park, Jinwoo Shin
2020 A* conf
Learning What to Defer for Maximum Independent Sets.
ICML
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
2020 J jnl
Learning What to Defer for Maximum Independent Sets.
CoRR
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
2020 A* conf
Learning from Failure: De-biasing Classifier from Biased Classifier.
NeurIPS
Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
2020 J jnl
Learning from Failure: Training Debiased Classifier from Biased Classifier.
CoRR
Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
2020 J jnl
Learning to Generate Noise for Robustness against Multiple Perturbations.
CoRR
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
2020 J jnl
Learning to Sample with Local and Global Contexts in Experience Replay Buffer.
CoRR
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020 A* conf
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning.
ICLR
Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020 J jnl
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning.
CoRR
Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020 A* conf
M2m: Imbalanced Classification via Major-to-Minor Translation.
CVPR
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
2020 J jnl
M2m: Imbalanced Classification via Major-to-minor Translation.
CoRR
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
2020 J jnl
MASKER: Masked Keyword Regularization for Reliable Text Classification.
CoRR
Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2020 J jnl
Minimum Width for Universal Approximation.
CoRR
Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin
2020 A* conf
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning.
ICLR
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
2020 — conf
Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs.
HotStorage
Junhyeok Jang, Donghyun Gouk, Jinwoo Shin, Myoungsoo Jung
2020 A* conf
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix.
ICML
Insu Han, Haim Avron, Jinwoo Shin
2020 J jnl
Provable Memorization via Deep Neural Networks using Sub-linear Parameters.
CoRR
Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin
2020 J jnl
QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi
2020 A* conf
Regularizing Class-Wise Predictions via Self-Knowledge Distillation.
CVPR
Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin
2020 J jnl
Regularizing Class-wise Predictions via Self-knowledge Distillation.
CoRR
Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin
2020 A* conf
Self-supervised Label Augmentation via Input Transformations.
ICML
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2020 A* conf
Time-Reversal Symmetric ODE Network.
NeurIPS
In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020 J jnl
Time-Reversal Symmetric ODE Network.
CoRR
In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020 A* conf
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
NeurIPS
Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
2020 J jnl
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
CoRR
Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
2020 J jnl
Unified statistical performance of FSO link due to the combined effect of weak turbulence and generalized pointing error with HD and IM/DD.
J. Commun. Networks
Kug-Jin Jung, Sung Sik Nam, Jinwoo Shin, Young-Chai Ko
2020 J jnl
i-Mix: A Strategy for Regularizing Contrastive Representation Learning.
CoRR
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
2019 J jnl
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning.
CoRR
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
2019 — conf
A Study on the Activation of Femoral Prostheses: Focused on the Development of a Decision Tree based Gait Phase Identification Algorithm.
ICINCO (1)
Sun-Jong Na, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee
2019 A* conf
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash?
IEEE Symposium on Security and Privacy
Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim
2019 J jnl
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash?
CoRR
Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim
2019 — conf
Energy Efficient Power Allocation for Multi-User MIMO Downlink Systems with Statistical Delay Constraints.
CSCN
Jae-Hong Kwon, Young-Chai Ko, Jinwoo Shin
2019 — conf
Incremental Learning with Unlabeled Data in the Wild.
CVPR Workshops
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
2019 J jnl
Incremental Learning with Unlabeled Data in the Wild.
CoRR
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
2019 J jnl
Information source localization with protector diffusion in networks.
J. Commun. Networks
Jaeyoung Choi, Jinwoo Shin, Yung Yi
2019 — conf
InstaGAN: Instance-aware Image-to-Image Translation.
ICLR (Poster)
Sangwoo Mo, Minsu Cho, Jinwoo Shin
2019 A conf
Iterative Bayesian Learning for Crowdsourced Regression.
AISTATS
Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi
2019 A* conf
Learning What and Where to Transfer.
ICML
Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019 J jnl
Learning What and Where to Transfer.
CoRR
Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019 Misc conf
MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing.
SenSys
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
2019 A* conf
Mining GOLD Samples for Conditional GANs.
NeurIPS
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2019 J jnl
Mining GOLD Samples for Conditional GANs.
CoRR
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2019 A* conf
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild.
ICCV
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
2019 J jnl
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix.
CoRR
Insu Han, Haim Avron, Jinwoo Shin
2019 J jnl
Rethinking Data Augmentation: Self-Supervision and Self-Distillation.
CoRR
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019 A* conf
Robust Inference via Generative Classifiers for Handling Noisy Labels.
ICML
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
2019 J jnl
Robust Inference via Generative Classifiers for Handling Noisy Labels.
CoRR
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
2019 J jnl
Simulation-Based Distributed Coordination Maximization Over Networks.
IEEE Trans. Control. Netw. Syst.
Hyeryung Jang, Jinwoo Shin, Yung Yi
2019 A* conf
Spectral Approximate Inference.
ICML
Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2019 J jnl
Spectral Approximate Inference.
CoRR
Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2019 — conf
Techniques for Improving the Reliability of Prosthesis Wearer Muscle Signals Using Pressure and EMG Sensors.
EMBC
Jinwoo Shin, Su-Hong Eom, Chol-U. Lee, Eung-Hyuk Lee
2019 A conf
Towards Condition-Independent Deep Mobile Sensing.
MobiSys
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
2019 A* conf
Training CNNs with Selective Allocation of Channels.
ICML
Jongheon Jeong, Jinwoo Shin
2019 J jnl
Training CNNs with Selective Allocation of Channels.
CoRR
Jongheon Jeong, Jinwoo Shin
2018 A* conf
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.
NeurIPS
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin
2018 J jnl
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.
CoRR
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin
2018 J jnl
Anytime Neural Prediction via Slicing Networks Vertically.
CoRR
Hankook Lee, Jinwoo Shin
2018 A* conf
Bucket Renormalization for Approximate Inference.
ICML
Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin
2018 J jnl
Game Theoretic Perspective of Optimal CSMA.
IEEE Trans. Wirel. Commun.
Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2018 A conf
Gauged Mini-Bucket Elimination for Approximate Inference.
AISTATS
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller
2018 A* conf
Hierarchical Novelty Detection for Visual Object Recognition.
CVPR
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
2018 J jnl
Hierarchical Novelty Detection for Visual Object Recognition.
CoRR
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
2018 J jnl
InstaGAN: Instance-aware Image-to-Image Translation.
CoRR
Sangwoo Mo, Minsu Cho, Jinwoo Shin
2018 A* conf
Learning to Specialize with Knowledge Distillation for Visual Question Answering.
NeurIPS
Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han
2018 J jnl
Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality.
IEEE Trans. Inf. Theory
Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin
2018 — conf
Multi-armed Bandit with Additional Observations.
SIGMETRICS (Abstracts)
Donggyu Yun, Sumyeong Ahn, Alexandre Proutière, Jinwoo Shin, Yung Yi
2018 J jnl
Multi-armed Bandit with Additional Observations.
Proc. ACM Meas. Anal. Comput. Syst.
Donggyu Yun, Alexandre Proutière, Sumyeong Ahn, Jinwoo Shin, Yung Yi
2018 A* conf
Neural Adaptive Content-aware Internet Video Delivery.
OSDI
Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, Dongsu Han
2018 J jnl
Optimal Inference in Crowdsourced Classification via Belief Propagation.
IEEE Trans. Inf. Theory
Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2018 J jnl
Optimizing Spectral Sums using Randomized Chebyshev Expansions.
CoRR
Insu Han, Haim Avron, Jinwoo Shin
2018 J jnl
Simulation-based Distributed Coordination Maximization over Networks.
CoRR
Hyeryung Jang, Jinwoo Shin, Yung Yi
2018 A* conf
Stochastic Chebyshev Gradient Descent for Spectral Optimization.
NeurIPS
Insu Han, Haim Avron, Jinwoo Shin
2018 — conf
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.
ICLR (Poster)
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin
2017 B conf
Adiabatic Persistent Contrastive Divergence learning.
ISIT
Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin
2017 J jnl
Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations.
SIAM J. Sci. Comput.
Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin
2017 A* conf
Confident Multiple Choice Learning.
ICML
Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin
2017 J jnl
Confident Multiple Choice Learning.
CoRR
Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin
2017 J jnl
Contextual Multi-armed Bandits under Feature Uncertainty.
CoRR
Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin
2017 J jnl
Convergence and Correctness of Max-Product Belief Propagation for Linear Programming.
SIAM J. Discret. Math.
Sejun Park, Jinwoo Shin
2017 J jnl
Efficient Learning for Crowdsourced Regression.
CoRR
Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi
2017 A* conf
Faster Greedy MAP Inference for Determinantal Point Processes.
ICML
Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin
2017 J jnl
Faster Greedy MAP Inference for Determinantal Point Processes.
CoRR
Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin
2017 — conf
Gauging Variational Inference.
NIPS
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2017 A* conf
Incentivizing strategic users for social diffusion: Quantity or quality?
INFOCOM
Jungseul Ok, Jinwoo Shin, Yung Yi
2017 — conf
On the Delay Scaling Laws of Cache Networks.
CFI
Boram Jin, Daewoo Kim, Se-Young Yun, Jinwoo Shin, Seongik Hong, Byoung-Joon Lee, Yung Yi
2017 A conf
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models.
AISTATS
Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda
2017 J jnl
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models.
CoRR
Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda
2017 J jnl
Rumor Source Detection under Querying with Untruthful Answers.
CoRR
Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi
2017 A* conf
Rumor source detection under querying with untruthful answers.
INFOCOM
Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi
2017 J jnl
Scheduling Using Interactive Optimization Oracles for Constrained Queueing Networks.
Math. Oper. Res.
Tonghoon Suk, Jinwoo Shin
2017 J jnl
Sequential Local Learning for Latent Graphical Models.
CoRR
Sejun Park, Eunho Yang, Jinwoo Shin
2017 J jnl
Simplified Stochastic Feedforward Neural Networks.
CoRR
Kimin Lee, Jaehyung Kim, Song Chong, Jinwoo Shin
2017 J jnl
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.
CoRR
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin
2016 J jnl
Adiabatic Persistent Contrastive Divergence Learning.
CoRR
Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin
2016 J jnl
Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations.
CoRR
Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin
2016 J jnl
Breaking the Trapping Sets in LDPC Codes: Check Node Removal and Collaborative Decoding.
IEEE Trans. Commun.
Soonyoung Kang, Jaekyun Moon, Jeongseok Ha, Jinwoo Shin
2016 J jnl
Delay Optimal CSMA With Linear Virtual Channels Under a General Topology.
IEEE/ACM Trans. Netw.
Donggyu Yun, Dongmyung Lee, Se-Young Yun, Jinwoo Shin, Yung Yi
2016 J jnl
Distributed Medium Access Over Time-Varying Channels.
IEEE/ACM Trans. Netw.
Se-Young Yun, Jinwoo Shin, Yung Yi
2016 B conf
Distributed coordination maximization over networks: a stochastic approximation approach.
MobiHoc
Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2016 B conf
Estimating the rumor source with anti-rumor in social networks.
ICNP
Jaeyoung Choi, Sangwoo Moon, Jinwoo Shin, Yung Yi
2016 A* conf
Just-in-time WLANs: On-demand interference-managed WLAN infrastructures.
INFOCOM
Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin, Song Chong
2016 J jnl
MCMC assisted by Belief Propagaion.
CoRR
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2016 J jnl
On Maximizing Diffusion Speed Over Social Networks With Strategic Users.
IEEE/ACM Trans. Netw.
Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi
2016 A* conf
Optimality of Belief Propagation for Crowdsourced Classification.
ICML
Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2016 J jnl
Optimality of Belief Propagation for Crowdsourced Classification.
CoRR
Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi
2016 — conf
Synthesis of MCMC and Belief Propagation.
NIPS
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2015 J jnl
CSMA Using the Bethe Approximation: Scheduling and Utility Maximization.
IEEE Trans. Inf. Theory
Se-Young Yun, Jinwoo Shin, Yung Yi
2015 J jnl
Impacts of Selfish Behaviors on the Scalability of Hybrid Client-Server and Peer-to-Peer Caching Systems.
IEEE/ACM Trans. Netw.
Youngmi Jin, George Kesidis, Jinwoo Shin, Fatih Kocak, Yung Yi
2015 J jnl
Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions.
CoRR
Insu Han, Dmitry Malioutov, Jinwoo Shin
2015 A* conf
Large-scale log-determinant computation through stochastic Chebyshev expansions.
ICML
Insu Han, Dmitry Malioutov, Jinwoo Shin
2015 A conf
Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization.
UAI
Sejun Park, Jinwoo Shin
2015 — conf
Minimum Weight Perfect Matching via Blossom Belief Propagation.
NIPS
Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2015 J jnl
Minimum Weight Perfect Matching via Blossom Belief Propagation.
CoRR
Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2015 A* conf
On the progressive spread over strategic diffusion: Asymptotic and computation.
INFOCOM
Jungseul Ok, Jinwoo Shin, Yung Yi
2015 — conf
Practical message-passing framework for large-scale combinatorial optimization.
IEEE BigData
Inho Cho, Soya Park, Sejun Park, Dongsu Han, Jinwoo Shin
2014 A* conf
Distributed learning for utility maximization over CSMA-based wireless multihop networks.
INFOCOM
Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi
2014 Misc conf
Influence maximization over strategic diffusion in social networks.
CISS
Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi
2014 J jnl
Max-Product Belief Propagation for Linear Programming: Convergence and Correctness.
CoRR
Sejun Park, Jinwoo Shin
2014 J jnl
Near-Optimality in Covering Games by Exposing Global Information.
ACM Trans. Economics and Comput.
Maria-Florina Balcan, Sara Krehbiel, Georgios Piliouras, Jinwoo Shin
2014 A* conf
On maximizing diffusion speed in social networks: impact of random seeding and clustering.
SIGMETRICS
Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi
2014 A* conf
Provable per-link delay-optimal CSMA for general wireless network topology.
INFOCOM
Dongmyung Lee, Donggyu Yun, Jinwoo Shin, Yung Yi, Se-Young Yun
2014 A* conf
Scheduling using interactive oracles: connection between iterative optimization and low-complexity scheduling.
SIGMETRICS
Jinwoo Shin, Tonghoon Suk
2014 J jnl
The Complexity of Approximating a Bethe Equilibrium.
IEEE Trans. Inf. Theory
Jinwoo Shin
2013 — conf
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles.
NIPS
Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov
2013 J jnl
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles.
CoRR
Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov
2013 J jnl
Belief Propagation for Linear Programming
CoRR
Andrew Gelfand, Jinwoo Shin, Michael Chertkov
2013 B conf
Belief Propagation for Linear Programming.
ISIT
Andrew E. Gelfand, Jinwoo Shin, Michael Chertkov
2013 J jnl
CSMA over Time-varying Channels: Optimality, Uniqueness and Limited Backoff Rate.
CoRR
Se-Young Yun, Jinwoo Shin, Yung Yi
2013 B conf
CSMA over time-varying channels: optimality, uniqueness and limited backoff rate.
MobiHoc
Se-Young Yun, Jinwoo Shin, Yung Yi
2013 J jnl
CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA.
CoRR
Se-Young Yun, Jinwoo Shin, Yung Yi
2013 B conf
CSMA using the Bethe approximation for utility maximization.
ISIT
Se-Young Yun, Jinwoo Shin, Yung Yi
2013 A* conf
Hybrid client-server and peer-to-peer caching systems with selfish peers.
INFOCOM
Youngmi Jin, Yung Yi, George Kesidis, Fatih Kocak, Jinwoo Shin
2013 J jnl
Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs.
CoRR
Michael Chertkov, Andrew Gelfand, Jinwoo Shin
2013 J jnl
On the Delay Scaling Laws of Cache Networks.
CoRR
Boram Jin, Se-Young Yun, Daewoo Kim, Jinwoo Shin, Yung Yi, Seongik Hong, Byoung-Joon Lee
2013 A* conf
On the impact of global information on diffusion of innovations over social networks.
INFOCOM
Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin
2013 — conf
On the impact of global information on diffusion of innovations over social networks.
INFOCOM Workshops
Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin
2012 A conf
Complexity of Bethe Approximation.
AISTATS
Jinwoo Shin
2012 J jnl
DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function.
IEEE Comput. Archit. Lett.
Nagesh B. Lakshminarayana, Jaekyu Lee, Hyesoon Kim, Jinwoo Shin
2012 J jnl
From Local to Global Stability in Stochastic Processing Networks through Quadratic Lyapunov Functions
CoRR
Antonius B. Dieker, Jinwoo Shin
2012 — conf
Minimally invasive mechanism design: Distributed covering with carefully chosen advice.
CDC
Maria-Florina Balcan, Sara Krehbiel, Georgios Piliouras, Jinwoo Shin
2012 Misc conf
Optimal CSMA: A survey.
ICCS
Se-Young Yun, Yung Yi, Jinwoo Shin, Do Young Eun
2011 J jnl
Counting Independent Sets Using the Bethe Approximation.
SIAM J. Discret. Math.
Venkat Chandrasekaran, Misha Chertkov, David Gamarnik, Devavrat Shah, Jinwoo Shin
2011 J jnl
Efficient Distributed Medium Access
CoRR
Devavrat Shah, Jinwoo Shin, Prasad Tetali
2011 J jnl
Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets
CoRR
Ricardo Restrepo, Jinwoo Shin, Prasad Tetali, Eric Vigoda, Linji Yang
2011 A* conf
Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets.
FOCS
Ricardo Restrepo, Jinwoo Shin, Prasad Tetali, Eric Vigoda, Linji Yang
2011 A* conf
Medium Access Using Queues.
FOCS
Devavrat Shah, Jinwoo Shin, Prasad Tetali
2011 J jnl
Near Optimality in Covering and Packing Games by Exposing Global Information
CoRR
Maria-Florina Balcan, Sara Krehbiel, Georgios Piliouras, Jinwoo Shin
2011 J jnl
The Complexity of Approximating a Bethe Equilibrium
CoRR
Jinwoo Shin
2010 A* conf
Delay optimal queue-based CSMA.
SIGMETRICS
Devavrat Shah, Jinwoo Shin
2010 J jnl
Distributed Random Access Algorithm: Scheduling and Congestion Control.
IEEE Trans. Inf. Theory
Libin Jiang, Devavrat Shah, Jinwoo Shin, Jean C. Walrand
2010 J jnl
Distributed averaging via lifted Markov chains.
IEEE Trans. Inf. Theory
Kyomin Jung, Devavrat Shah, Jinwoo Shin
2010 A* conf
Dynamics in congestion games.
SIGMETRICS
Devavrat Shah, Jinwoo Shin
2010 J jnl
Efficient Queue-based CSMA with Collisions
CoRR
Devavrat Shah, Jinwoo Shin
2009 J jnl
Distributed Averaging via Lifted Markov Chains
CoRR
Kyomin Jung, Devavrat Shah, Jinwoo Shin
2009 J jnl
Distributed Random Access Algorithm: Scheduling and Congesion Control
CoRR
Libin Jiang, Devavrat Shah, Jinwoo Shin, Jean C. Walrand
2009 — conf
Network adiabatic theorem: an efficient randomized protocol for contention resolution.
SIGMETRICS/Performance
Shreevatsa Rajagopalan, Devavrat Shah, Jinwoo Shin
2009 J jnl
Randomized Scheduling Algorithm for Queueing Networks
CoRR
Devavrat Shah, Jinwoo Shin