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2020 – today
- 2025
[i161]Philhoon Oh, Jinwoo Shin, James Thorne:
Parallel Key-Value Cache Fusion for Position Invariant RAG. CoRR abs/2501.07523 (2025)- [i160]Kyungmin Lee, Xiaohang Li, Qifei Wang, Junfeng He, Junjie Ke, Ming-Hsuan Yang, Irfan Essa, Jinwoo Shin, Feng Yang, Yinxiao Li:
Calibrated Multi-Preference Optimization for Aligning Diffusion Models. CoRR abs/2502.02588 (2025) - [i159]Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo:
Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. CoRR abs/2502.02732 (2025) - [i158]Sihyun Yu, Meera Hahn, Dan Kondratyuk, Jinwoo Shin, Agrim Gupta, José Lezama, Irfan Essa, David A. Ross, Jonathan Huang:
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation. CoRR abs/2502.12632 (2025) - [i157]Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack:
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification. CoRR abs/2502.14565 (2025) - [i156]Changyeon Kim, Minho Heo, Doohyun Lee, Jinwoo Shin, Honglak Lee, Joseph J. Lim, Kimin Lee:
Subtask-Aware Visual Reward Learning from Segmented Demonstrations. CoRR abs/2502.20630 (2025) - 2024
- [j31]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: 11035-11051 (2024) - [j30]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) - [c173]Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin:
Discovering and Mitigating Visual Biases Through Keyword Explanation. CVPR 2024: 11082-11092 - [c172]Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee:
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. CVPR 2024: 25879-25888 - [c171]Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee:
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. ECCV (67) 2024: 128-145 - [c170]Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin:
Adversarial Robustification via Text-to-Image Diffusion Models. ECCV (81) 2024: 158-177 - [c169]Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin:
Improving Diffusion Models for Authentic Virtual Try-on in the Wild. ECCV (86) 2024: 206-235 - [c168]Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee:
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback. EMNLP (Findings) 2024: 13554-13570 - [c167]Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo:
Querying Easily Flip-flopped Samples for Deep Active Learning. ICLR 2024 - [c166]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 - [c165]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 - [c164]Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin:
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. ICLR 2024 - [c163]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 - [c162]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 - [c161]Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Visual Representation Learning with Stochastic Frame Prediction. ICML 2024 - [c160]Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin:
Data-Efficient Molecular Generation with Hierarchical Textual Inversion. ICML 2024 - [c159]Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin:
Conditional Synthesis of 3D Molecules with Time Correction Sampler. NeurIPS 2024 - [c158]Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin:
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models. NeurIPS 2024 - [c157]Hyunseok Lee, Jihoon Tack, Jinwoo Shin:
ReMoDetect: Reward Models Recognize Aligned LLM's Generations. NeurIPS 2024 - [c156]Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin:
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning. NeurIPS 2024 - [c155]Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon, Sukmin Yun, Paul Hongsuck Seo, Jinwoo Shin:
TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation. NeurIPS 2024 - [c154]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. NeurIPS 2024 - [i155]Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo:
Querying Easily Flip-flopped Samples for Deep Active Learning. CoRR abs/2401.09787 (2024) - [i154]Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin:
Direct Consistency Optimization for Compositional Text-to-Image Personalization. CoRR abs/2402.12004 (2024) - [i153]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 abs/2403.04317 (2024) - [i152]Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin:
Improving Diffusion Models for Virtual Try-on. CoRR abs/2403.05139 (2024) - [i151]Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar:
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. CoRR abs/2403.14148 (2024) - [i150]Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin:
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow. CoRR abs/2403.14966 (2024) - [i149]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 abs/2404.01863 (2024) - [i148]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 abs/2404.10308 (2024) - [i147]Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee:
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. CoRR abs/2404.12168 (2024) - [i146]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 abs/2404.13081 (2024) - [i145]Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin:
Data-Efficient Molecular Generation with Hierarchical Textual Inversion. CoRR abs/2405.02845 (2024) - [i144]Hyunseok Lee, Jihoon Tack, Jinwoo Shin:
ReMoDetect: Reward Models Recognize Aligned LLM's Generations. CoRR abs/2405.17382 (2024) - [i143]Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim:
Aligning Large Language Models with Self-generated Preference Data. CoRR abs/2406.04412 (2024) - [i142]Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Visual Representation Learning with Stochastic Frame Prediction. CoRR abs/2406.07398 (2024) - [i141]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 abs/2406.08527 (2024) - [i140]Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin:
Adversarial Robustification via Text-to-Image Diffusion Models. CoRR abs/2407.18658 (2024) - [i139]Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee:
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. CoRR abs/2407.21032 (2024) - [i138]Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, Jinwoo Shin:
Tabular Transfer Learning via Prompting LLMs. CoRR abs/2408.11063 (2024) - [i137]Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee:
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback. CoRR abs/2410.03145 (2024) - [i136]June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee:
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. CoRR abs/2410.05694 (2024) - [i135]Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie:
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. CoRR abs/2410.06940 (2024) - [i134]Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin:
Conditional Synthesis of 3D Molecules with Time Correction Sampler. CoRR abs/2411.00551 (2024) - [i133]Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong:
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness. CoRR abs/2411.08933 (2024) - [i132]Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction. CoRR abs/2411.14762 (2024) - [i131]Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin:
Controllable Human Image Generation with Personalized Multi-Garments. CoRR abs/2411.16801 (2024) - [i130]Sanghyun Kim, Moonseok Choi, Jinwoo Shin, Juho Lee:
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models. CoRR abs/2412.00357 (2024) - 2023
- [j29]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: 146208-146222 (2023) - [j28]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): 55:1-55:27 (2023) - [j27]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) - [c153]Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. AAAI 2023: 8005-8013 - [c152]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: 9823-9850 - [c151]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: 1624-1645 - [c150]Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin:
IFSeg: Image-free Semantic Segmentation via Vision-Language Model. CVPR 2023: 2967-2977 - [c149]Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han:
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. CVPR 2023: 3832-3841 - [c148]Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR 2023: 16206-16218 - [c147]Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin:
Video Probabilistic Diffusion Models in Projected Latent Space. CVPR 2023: 18456-18466 - [c146]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: 1-4 - [c145]Kisoo Kwon, Kuhwan Jeong, Junghyun Park, Hwidong Na, Jinwoo Shin:
String-Based Molecule Generation Via Multi-Decoder VAE. ICASSP 2023: 1-5 - [c144]Huiwon Jang, Hankook Lee, Jinwoo Shin:
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning. ICLR 2023 - [c143]Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
Preference Transformer: Modeling Human Preferences using Transformers for RL. ICLR 2023 - [c142]Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin:
Imitating Graph-Based Planning with Goal-Conditioned Policies. ICLR 2023 - [c141]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. ICLR 2023 - [c140]Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin:
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. ICLR 2023 - [c139]Jaehyung Kim, Jinwoo Shin, Dongyeop Kang:
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning. ICML 2023: 16807-16828 - [c138]Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin:
Modality-Agnostic Variational Compression of Implicit Neural Representations. ICML 2023: 30342-30364 - [c137]Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel:
Multi-View Masked World Models for Visual Robotic Manipulation. ICML 2023: 30613-30632 - [c136]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: 247-260 - [c135]Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin:
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. NeurIPS 2023 - [c134]Jongheon Jeong, Jinwoo Shin:
Multi-scale Diffusion Denoised Smoothing. NeurIPS 2023 - [c133]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Editing. NeurIPS 2023 - [c132]Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. NeurIPS 2023 - [c131]Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee:
Guide Your Agent with Adaptive Multimodal Rewards. NeurIPS 2023 - [c130]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 - [c129]Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin:
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions. NeurIPS 2023 - [c128]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 - [c127]Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang:
Rethinking the Entropy of Instance in Adversarial Training. SaTML 2023: 316-326 - [i129]Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin:
Modality-Agnostic Variational Compression of Implicit Neural Representations. CoRR abs/2301.09479 (2023) - [i128]Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin:
Explaining Visual Biases as Words by Generating Captions. CoRR abs/2301.11104 (2023) - [i127]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 abs/2302.00617 (2023) - [i126]Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel:
Multi-View Masked World Models for Visual Robotic Manipulation. CoRR abs/2302.02408 (2023) - [i125]Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin:
Video Probabilistic Diffusion Models in Projected Latent Space. CoRR abs/2302.07685 (2023) - [i124]Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin:
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. CoRR abs/2303.00918 (2023) - [i123]Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
Preference Transformer: Modeling Human Preferences using Transformers for RL. CoRR abs/2303.00957 (2023) - [i122]Huiwon Jang, Hankook Lee, Jinwoo Shin:
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning. CoRR abs/2303.00996 (2023) - [i121]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. CoRR abs/2303.03023 (2023) - [i120]Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin:
Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR abs/2303.11166 (2023) - [i119]Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR abs/2303.14096 (2023) - [i118]Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin:
IFSeg: Image-free Semantic Segmentation via Vision-Language Model. CoRR abs/2303.14396 (2023) - [i117]Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin:
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions. CoRR abs/2305.14095 (2023) - [i116]Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang:
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information. CoRR abs/2305.19344 (2023) - [i115]Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. CoRR abs/2305.19476 (2023) - [i114]Jaehyung Kim, Jinwoo Shin, Dongyeop Kang:
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning. CoRR abs/2306.04925 (2023) - [i113]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Synthesis. CoRR abs/2307.04787 (2023) - [i112]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 abs/2307.05977 (2023) - [i111]Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang:
NeFL: Nested Federated Learning for Heterogeneous Clients. CoRR abs/2308.07761 (2023) - [i110]Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee:
Guide Your Agent with Adaptive Multimodal Rewards. CoRR abs/2309.10790 (2023) - [i109]Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin:
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. CoRR abs/2310.16318 (2023) - [i108]Jongheon Jeong, Jinwoo Shin:
Multi-scale Diffusion Denoised Smoothing. CoRR abs/2310.16779 (2023) - 2022
- [j26]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): 3470-3485 (2022) - [c126]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI 2022: 7957-7965 - [c125]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [c124]Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin:
Patch-level Representation Learning for Self-supervised Vision Transformers. CVPR 2022: 8344-8353 - [c123]Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo:
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. CVPR 2022: 12247-12255 - [c122]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: 18280-18289 - [c121]Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. ECCV Workshops (2) 2022: 134-149 - [c120]Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin:
K-centered Patch Sampling for Efficient Video Recognition. ECCV (35) 2022: 160-176 - [c119]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: 1-6 - [c118]Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin:
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. ICLR 2022 - [c117]Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin:
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. ICLR 2022 - [c116]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-augmented Prioritized Experience Replay. ICLR 2022 - [c115]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 - [c114]Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR 2022 - [c113]Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han:
TSPipe: Learn from Teacher Faster with Pipelines. ICML 2022: 13302-13312 - [c112]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: 20347-20368 - [c111]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022: 25804-25816 - [c110]Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee:
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. NeurIPS 2022 - [c109]Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin:
Scalable Neural Video Representations with Learnable Positional Features. NeurIPS 2022 - [c108]Kyungmin Lee, Jinwoo Shin:
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence. NeurIPS 2022 - [c107]Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin:
Meta-Learning with Self-Improving Momentum Target. NeurIPS 2022 - [i107]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 abs/2202.10571 (2022) - [i106]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 abs/2203.10050 (2022) - [i105]Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin:
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. CoRR abs/2204.02070 (2022) - [i104]Chaewon Kim, Jaeho Lee, Jinwoo Shin:
Zero-shot Blind Image Denoising via Implicit Neural Representations. CoRR abs/2204.02405 (2022) - [i103]Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin:
Patch-level Representation Learning for Self-supervised Vision Transformers. CoRR abs/2206.07990 (2022) - [i102]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. CoRR abs/2207.09067 (2022) - [i101]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 abs/2208.05117 (2022) - [i100]Kyungmin Lee, Jinwoo Shin:
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence. CoRR abs/2208.06270 (2022) - [i99]Kisoo Kwon, Kuhwan Jung, Junghyun Park, Hwidong Na, Jinwoo Shin:
String-based Molecule Generation via Multi-decoder VAE. CoRR abs/2208.10718 (2022) - [i98]Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin:
Meta-Learning with Self-Improving Momentum Target. CoRR abs/2210.05185 (2022) - [i97]Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin:
Scalable Neural Video Representations with Learnable Positional Features. CoRR abs/2210.06823 (2022) - [i96]Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin:
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. CoRR abs/2212.02090 (2022) - [i95]Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin:
OAMixer: Object-aware Mixing Layer for Vision Transformers. CoRR abs/2212.06595 (2022) - [i94]Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-aware Training of Smoothed Classifiers for Certified Robustness. CoRR abs/2212.09000 (2022) - 2021
- [j25]Youngseok Bae, Jinwoo Shin, Sang-Gug Lee, Hoon Kim:
Field Experiment of Photonic Radar for Low-RCS Target Detection and High-Resolution Image Acquisition. IEEE Access 9: 63559-63566 (2021) - [c106]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [c105]Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. AAAI 2021: 13578-13586 - [c104]Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin:
Provable Memorization via Deep Neural Networks using Sub-linear Parameters. COLT 2021: 3627-3661 - [c103]Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRL 2021: 1702-1712 - [c102]Insoo Kim, Seungju Han, Ji-Won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin:
Quality-Agnostic Image Recognition via Invertible Decoder. CVPR 2021: 12257-12266 - [c101]Hyuntak Cha, Jaeho Lee, Jinwoo Shin:
Co2L: Contrastive Continual Learning. ICCV 2021: 9496-9505 - [c100]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. ICLR 2021 - [c99]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR 2021 - [c98]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. ICLR 2021 - [c97]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR 2021 - [c96]Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin:
Minimum Width for Universal Approximation. ICLR 2021 - [c95]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. ICML 2021: 5486-5495 - [c94]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Multi-Attack Robustness. ICML 2021: 7279-7289 - [c93]Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
State Entropy Maximization with Random Encoders for Efficient Exploration. ICML 2021: 9443-9454 - [c92]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI 2021: 2673-2679 - [c91]Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Scaling Neural Tangent Kernels via Sketching and Random Features. NeurIPS 2021: 1062-1073 - [c90]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. NeurIPS 2021: 3029-3042 - [c89]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS 2021: 4619-4631 - [c88]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. NeurIPS 2021: 11769-11780 - [c87]Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. NeurIPS 2021: 12251-12264 - [c86]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. NeurIPS 2021: 17710-17722 - [c85]Junsu Kim, Younggyo Seo, Jinwoo Shin:
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. NeurIPS 2021: 28336-28349 - [c84]Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. NeurIPS 2021: 30153-30168 - [c83]Changho Hwang, Taehyun Kim, Sunghyun Kim, Jinwoo Shin, KyoungSoo Park:
Elastic Resource Sharing for Distributed Deep Learning. NSDI 2021: 721-739 - [i93]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. CoRR abs/2102.03866 (2021) - [i92]Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
State Entropy Maximization with Random Encoders for Efficient Exploration. CoRR abs/2102.09430 (2021) - [i91]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021) - [i90]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. CoRR abs/2103.09742 (2021) - [i89]Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Random Features for the Neural Tangent Kernel. CoRR abs/2104.01351 (2021) - [i88]Seewoo Lee, Youngduck Choi, Juneyoung Park, Byungsoo Kim, Jinwoo Shin:
Consistency and Monotonicity Regularization for Neural Knowledge Tracing. CoRR abs/2105.00607 (2021) - [i87]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR abs/2105.00795 (2021) - [i86]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. CoRR abs/2106.04880 (2021) - [i85]Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Scaling Neural Tangent Kernels via Sketching and Random Features. CoRR abs/2106.07880 (2021) - [i84]Hyuntak Cha, Jaeho Lee, Jinwoo Shin:
Co2L: Contrastive Continual Learning. CoRR abs/2106.14413 (2021) - [i83]Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRR abs/2107.00591 (2021) - [i82]Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data. CoRR abs/2107.08943 (2021) - [i81]Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Abstract Reasoning via Logic-guided Generation. CoRR abs/2107.10493 (2021) - [i80]Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. CoRR abs/2108.00049 (2021) - [i79]Junsu Kim, Younggyo Seo, Jinwoo Shin:
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. CoRR abs/2110.13625 (2021) - [i78]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. CoRR abs/2110.14118 (2021) - [i77]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR abs/2110.14188 (2021) - [i76]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. CoRR abs/2110.14678 (2021) - [i75]Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. CoRR abs/2111.09277 (2021) - [i74]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. CoRR abs/2111.09613 (2021) - [i73]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. CoRR abs/2111.11053 (2021) - [i72]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR abs/2112.08796 (2021) - 2020
- [j24]Kug-Jin Jung, Sung Sik Nam, Jinwoo Shin, Young-Chai Ko:
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 22(6): 476-483 (2020) - [j23]Seokhyun Kim, Kimin Lee, Yeonkeun Kim, Jinwoo Shin, Seungwon Shin, Song Chong:
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures. IEEE/ACM Trans. Netw. 28(1): 84-97 (2020) - [j22]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying With Budgets. IEEE/ACM Trans. Netw. 28(5): 2271-2284 (2020) - [c82]Insoo Kim, Seungju Han, Seong-Jin Park, Ji-Won Baek, Jinwoo Shin, Jae-Joon Han, Changkyu Choi:
DiscFace: Minimum Discrepancy Learning for Deep Face Recognition. ACCV (5) 2020: 358-374 - [c81]Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-Wise Predictions via Self-Knowledge Distillation. CVPR 2020: 13873-13882 - [c80]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-Minor Translation. CVPR 2020: 13893-13902 - [c79]Junhyeok Jang, Donghyun Gouk, Jinwoo Shin, Myoungsoo Jung:
Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs. HotStorage 2020 - [c78]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. ICLR 2020 - [c77]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR 2020 - [c76]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. ICML 2020: 134-144 - [c75]Insu Han, Haim Avron, Jinwoo Shin:
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. ICML 2020: 3984-3993 - [c74]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Self-supervised Label Augmentation via Input Transformations. ICML 2020: 5714-5724 - [c73]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. ICML 2020: 5757-5766 - [c72]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Adversarial Neural Pruning with Latent Vulnerability Suppression. ICML 2020: 6575-6585 - [c71]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS 2020 - [c70]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c69]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. NeurIPS 2020 - [c68]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c67]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c66]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. NeurIPS 2020 - [c65]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS 2020 - [c64]Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. NeurIPS 2020 - [c63]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS 2020 - [i71]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR abs/2002.04809 (2020) - [i70]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. CoRR abs/2002.10964 (2020) - [i69]Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-wise Predictions via Self-knowledge Distillation. CoRR abs/2003.13964 (2020) - [i68]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-minor Translation. CoRR abs/2004.00431 (2020) - [i67]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. CoRR abs/2005.06800 (2020) - [i66]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. CoRR abs/2006.04062 (2020) - [i65]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. CoRR abs/2006.08138 (2020) - [i64]Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin:
Minimum Width for Universal Approximation. CoRR abs/2006.08859 (2020) - [i63]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. CoRR abs/2006.09607 (2020) - [i62]Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi:
QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2006.12010 (2020) - [i61]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Robustness against Multiple Perturbations. CoRR abs/2006.12135 (2020) - [i60]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR abs/2007.02561 (2020) - [i59]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. CoRR abs/2007.04897 (2020) - [i58]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i57]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR abs/2007.08176 (2020) - [i56]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i55]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i54]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i53]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying with Budgets. CoRR abs/2009.00795 (2020) - [i52]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR abs/2010.07611 (2020) - [i51]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR abs/2010.08887 (2020) - [i50]Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR abs/2010.13303 (2020) - [i49]Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin:
Provable Memorization via Deep Neural Networks using Sub-linear Parameters. CoRR abs/2010.13363 (2020) - [i48]Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. CoRR abs/2012.09392 (2020)
2010 – 2019
- 2019
- [j21]Jaeyoung Choi, Jinwoo Shin, Yung Yi:
Information source localization with protector diffusion in networks. J. Commun. Networks 21(2): 136-147 (2019) - [j20]Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-Based Distributed Coordination Maximization Over Networks. IEEE Trans. Control. Netw. Syst. 6(2): 713-726 (2019) - [c62]Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi:
Iterative Bayesian Learning for Crowdsourced Regression. AISTATS 2019: 1486-1495 - [c61]Jae-Hong Kwon, Young-Chai Ko, Jinwoo Shin:
Energy Efficient Power Allocation for Multi-User MIMO Downlink Systems with Statistical Delay Constraints. CSCN 2019: 1-6 - [c60]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CVPR Workshops 2019: 29-32 - [c59]Jinwoo Shin, Su-Hong Eom, Chol-U. Lee, Eung-Hyuk Lee:
Techniques for Improving the Reliability of Prosthesis Wearer Muscle Signals Using Pressure and EMG Sensors. EMBC 2019: 5882-5885 - [c58]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. ICCV 2019: 312-321 - [c57]Sun-Jong Na, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee:
A Study on the Activation of Femoral Prostheses: Focused on the Development of a Decision Tree based Gait Phase Identification Algorithm. ICINCO (1) 2019: 775-780 - [c56]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. ICLR (Poster) 2019 - [c55]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. ICML 2019: 3030-3039 - [c54]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. ICML 2019: 3080-3090 - [c53]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. ICML 2019: 3763-3772 - [c52]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. ICML 2019: 5052-5061 - [c51]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
Towards Condition-Independent Deep Mobile Sensing. MobiSys 2019: 554-555 - [c50]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. NeurIPS 2019: 6167-6178 - [c49]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. SenSys 2019: 110-123 - [c48]Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim:
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? IEEE Symposium on Security and Privacy 2019: 935-951 - [i47]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. CoRR abs/1901.11300 (2019) - [i46]Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim:
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? CoRR abs/1902.11064 (2019) - [i45]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CoRR abs/1903.12648 (2019) - [i44]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. CoRR abs/1905.04509 (2019) - [i43]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. CoRR abs/1905.05348 (2019) - [i42]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. CoRR abs/1905.05901 (2019) - [i41]Insu Han, Haim Avron, Jinwoo Shin:
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. CoRR abs/1905.11616 (2019) - [i40]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. CoRR abs/1910.05396 (2019) - [i39]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Rethinking Data Augmentation: Self-Supervision and Self-Distillation. CoRR abs/1910.05872 (2019) - [i38]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. CoRR abs/1910.09170 (2019) - 2018
- [j19]Donggyu Yun, Alexandre Proutière, Sumyeong Ahn, Jinwoo Shin, Yung Yi:
Multi-armed Bandit with Additional Observations. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 13:1-13:22 (2018) - [j18]Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin:
Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory 64(3): 1471-1480 (2018) - [j17]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimal Inference in Crowdsourced Classification via Belief Propagation. IEEE Trans. Inf. Theory 64(9): 6127-6138 (2018) - [j16]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Game Theoretic Perspective of Optimal CSMA. IEEE Trans. Wirel. Commun. 17(1): 194-209 (2018) - [c47]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller:
Gauged Mini-Bucket Elimination for Approximate Inference. AISTATS 2018: 10-19 - [c46]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CVPR 2018: 1034-1042 - [c45]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. ICLR (Poster) 2018 - [c44]Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin:
Bucket Renormalization for Approximate Inference. ICML 2018: 109-118 - [c43]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. NeurIPS 2018: 7167-7177 - [c42]Insu Han, Haim Avron, Jinwoo Shin:
Stochastic Chebyshev Gradient Descent for Spectral Optimization. NeurIPS 2018: 7397-7407 - [c41]Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han:
Learning to Specialize with Knowledge Distillation for Visual Question Answering. NeurIPS 2018: 8092-8102 - [c40]Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, Dongsu Han:
Neural Adaptive Content-aware Internet Video Delivery. OSDI 2018: 645-661 - [c39]Donggyu Yun, Sumyeong Ahn, Alexandre Proutière, Jinwoo Shin, Yung Yi:
Multi-armed Bandit with Additional Observations. SIGMETRICS (Abstracts) 2018: 53-55 - [i37]Insu Han, Haim Avron, Jinwoo Shin:
Optimizing Spectral Sums using Randomized Chebyshev Expansions. CoRR abs/1802.06355 (2018) - [i36]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CoRR abs/1804.00722 (2018) - [i35]Hankook Lee, Jinwoo Shin:
Anytime Neural Prediction via Slicing Networks Vertically. CoRR abs/1807.02609 (2018) - [i34]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. CoRR abs/1807.03888 (2018) - [i33]Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-based Distributed Coordination Maximization over Networks. CoRR abs/1809.04972 (2018) - [i32]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. CoRR abs/1812.10889 (2018) - 2017
- [j15]Tonghoon Suk, Jinwoo Shin:
Scheduling Using Interactive Optimization Oracles for Constrained Queueing Networks. Math. Oper. Res. 42(3): 723-744 (2017) - [j14]Sejun Park, Jinwoo Shin:
Convergence and Correctness of Max-Product Belief Propagation for Linear Programming. SIAM J. Discret. Math. 31(3): 2228-2246 (2017) - [j13]Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin:
Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations. SIAM J. Sci. Comput. 39(4) (2017) - [c38]Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda:
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. AISTATS 2017: 440-449 - [c37]Boram Jin, Daewoo Kim, Se-Young Yun, Jinwoo Shin, Seongik Hong, Byoung-Joon Lee, Yung Yi:
On the Delay Scaling Laws of Cache Networks. CFI 2017: 3:1-3:6 - [c36]Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin:
Faster Greedy MAP Inference for Determinantal Point Processes. ICML 2017: 1384-1393 - [c35]Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin:
Confident Multiple Choice Learning. ICML 2017: 2014-2023 - [c34]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Rumor source detection under querying with untruthful answers. INFOCOM 2017: 1-9 - [c33]Jungseul Ok, Jinwoo Shin, Yung Yi:
Incentivizing strategic users for social diffusion: Quantity or quality? INFOCOM 2017: 1-9 - [c32]Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin:
Adiabatic Persistent Contrastive Divergence learning. ISIT 2017: 3005-3009 - [c31]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
Gauging Variational Inference. NIPS 2017: 2881-2890 - [i31]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi:
Efficient Learning for Crowdsourced Regression. CoRR abs/1702.08840 (2017) - [i30]Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin:
Contextual Multi-armed Bandits under Feature Uncertainty. CoRR abs/1703.01347 (2017) - [i29]Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin:
Faster Greedy MAP Inference for Determinantal Point Processes. CoRR abs/1703.03389 (2017) - [i28]Sejun Park, Eunho Yang, Jinwoo Shin:
Sequential Local Learning for Latent Graphical Models. CoRR abs/1703.04082 (2017) - [i27]Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda:
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. CoRR abs/1704.02232 (2017) - [i26]Kimin Lee, Jaehyung Kim, Song Chong, Jinwoo Shin:
Simplified Stochastic Feedforward Neural Networks. CoRR abs/1704.03188 (2017) - [i25]Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin:
Confident Multiple Choice Learning. CoRR abs/1706.03475 (2017) - [i24]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Rumor Source Detection under Querying with Untruthful Answers. CoRR abs/1711.05496 (2017) - [i23]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. CoRR abs/1711.09325 (2017) - 2016
- [j12]Soonyoung Kang, Jaekyun Moon, Jeongseok Ha, Jinwoo Shin:
Breaking the Trapping Sets in LDPC Codes: Check Node Removal and Collaborative Decoding. IEEE Trans. Commun. 64(1): 15-26 (2016) - [j11]Donggyu Yun, Dongmyung Lee, Se-Young Yun, Jinwoo Shin, Yung Yi:
Delay Optimal CSMA With Linear Virtual Channels Under a General Topology. IEEE/ACM Trans. Netw. 24(5): 2847-2857 (2016) - [j10]Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed Medium Access Over Time-Varying Channels. IEEE/ACM Trans. Netw. 24(5): 3000-3013 (2016) - [j9]Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi:
On Maximizing Diffusion Speed Over Social Networks With Strategic Users. IEEE/ACM Trans. Netw. 24(6): 3798-3811 (2016) - [c30]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. ICML 2016: 535-544 - [c29]Jaeyoung Choi, Sangwoo Moon, Jinwoo Shin, Yung Yi:
Estimating the rumor source with anti-rumor in social networks. ICNP 2016: 1-6 - [c28]Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin, Song Chong:
Just-in-time WLANs: On-demand interference-managed WLAN infrastructures. INFOCOM 2016: 1-9 - [c27]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed coordination maximization over networks: a stochastic approximation approach. MobiHoc 2016: 181-190 - [c26]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
Synthesis of MCMC and Belief Propagation. NIPS 2016: 1453-1461 - [i22]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. CoRR abs/1602.03619 (2016) - [i21]Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin:
Adiabatic Persistent Contrastive Divergence Learning. CoRR abs/1605.08174 (2016) - [i20]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
MCMC assisted by Belief Propagaion. CoRR abs/1605.09042 (2016) - [i19]Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin:
Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations. CoRR abs/1606.00942 (2016) - 2015
- [j8]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA Using the Bethe Approximation: Scheduling and Utility Maximization. IEEE Trans. Inf. Theory 61(9): 4776-4787 (2015) - [j7]Youngmi Jin, George Kesidis, Jinwoo Shin, Fatih Kocak, Yung Yi:
Impacts of Selfish Behaviors on the Scalability of Hybrid Client-Server and Peer-to-Peer Caching Systems. IEEE/ACM Trans. Netw. 23(6): 1818-1831 (2015) - [c25]Inho Cho, Soya Park, Sejun Park, Dongsu Han, Jinwoo Shin:
Practical message-passing framework for large-scale combinatorial optimization. IEEE BigData 2015: 24-31 - [c24]Insu Han, Dmitry Malioutov, Jinwoo Shin:
Large-scale log-determinant computation through stochastic Chebyshev expansions. ICML 2015: 908-917 - [c23]Jungseul Ok, Jinwoo Shin, Yung Yi:
On the progressive spread over strategic diffusion: Asymptotic and computation. INFOCOM 2015: 1562-1570 - [c22]Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin:
Minimum Weight Perfect Matching via Blossom Belief Propagation. NIPS 2015: 1288-1296 - [c21]Sejun Park, Jinwoo Shin:
Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization. UAI 2015: 662-671 - [i18]Insu Han, Dmitry Malioutov, Jinwoo Shin:
Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions. CoRR abs/1503.06394 (2015) - [i17]Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin:
Minimum Weight Perfect Matching via Blossom Belief Propagation. CoRR abs/1509.06849 (2015) - 2014
- [j6]Maria-Florina Balcan, Sara Krehbiel, Georgios Piliouras, Jinwoo Shin:
Near-Optimality in Covering Games by Exposing Global Information. ACM Trans. Economics and Comput. 2(4): 13:1-13:22 (2014) - [j5]Jinwoo Shin:
The Complexity of Approximating a Bethe Equilibrium. IEEE Trans. Inf. Theory 60(7): 3959-3969 (2014) - [c20]Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi:
Influence maximization over strategic diffusion in social networks. CISS 2014: 1-5 - [c19]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed learning for utility maximization over CSMA-based wireless multihop networks. INFOCOM 2014: 280-288 - [c18]Dongmyung Lee, Donggyu Yun, Jinwoo Shin, Yung Yi, Se-Young Yun:
Provable per-link delay-optimal CSMA for general wireless network topology. INFOCOM 2014: 2535-2543 - [c17]Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi:
On maximizing diffusion speed in social networks: impact of random seeding and clustering. SIGMETRICS 2014: 301-313 - [c16]Jinwoo Shin, Tonghoon Suk:
Scheduling using interactive oracles: connection between iterative optimization and low-complexity scheduling. SIGMETRICS 2014: 577-578 - [i16]Sejun Park, Jinwoo Shin:
Max-Product Belief Propagation for Linear Programming: Convergence and Correctness. CoRR abs/1412.4972 (2014) - 2013
- [c15]Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin:
On the impact of global information on diffusion of innovations over social networks. INFOCOM Workshops 2013: 193-198 - [c14]Youngmi Jin, Yung Yi, George Kesidis, Fatih Kocak, Jinwoo Shin:
Hybrid client-server and peer-to-peer caching systems with selfish peers. INFOCOM 2013: 1744-1752 - [c13]Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin:
On the impact of global information on diffusion of innovations over social networks. INFOCOM 2013: 3267-3272 - [c12]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA using the Bethe approximation for utility maximization. ISIT 2013: 206-210 - [c11]Andrew E. Gelfand, Jinwoo Shin, Michael Chertkov:
Belief Propagation for Linear Programming. ISIT 2013: 2249-2253 - [c10]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA over time-varying channels: optimality, uniqueness and limited backoff rate. MobiHoc 2013: 137-146 - [c9]Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov:
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. NIPS 2013: 2022-2030 - [i15]Andrew Gelfand, Jinwoo Shin, Michael Chertkov:
Belief Propagation for Linear Programming. CoRR abs/1305.4130 (2013) - [i14]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA. CoRR abs/1306.1076 (2013) - [i13]Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov:
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. CoRR abs/1306.1167 (2013) - [i12]Michael Chertkov, Andrew Gelfand, Jinwoo Shin:
Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs. CoRR abs/1306.1267 (2013) - [i11]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA over Time-varying Channels: Optimality, Uniqueness and Limited Backoff Rate. CoRR abs/1306.2009 (2013) - [i10]Boram Jin, Se-Young Yun, Daewoo Kim, Jinwoo Shin, Yung Yi, Seongik Hong, Byoung-Joon Lee:
On the Delay Scaling Laws of Cache Networks. CoRR abs/1310.0572 (2013) - 2012
- [j4]Nagesh B. Lakshminarayana, Jaekyu Lee, Hyesoon Kim, Jinwoo Shin:
DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function. IEEE Comput. Archit. Lett. 11(2): 33-36 (2012) - [c8]Maria-Florina Balcan, Sara Krehbiel, Georgios Piliouras, Jinwoo Shin:
Minimally invasive mechanism design: Distributed covering with carefully chosen advice. CDC 2012: 2690-2695 - [c7]Se-Young Yun, Yung Yi, Jinwoo Shin, Do Young Eun:
Optimal CSMA: A survey. ICCS 2012: 199-204 - [c6]Jinwoo Shin:
Complexity of Bethe Approximation. AISTATS 2012: 1037-1045 - [i9]Antonius B. Dieker, Jinwoo Shin:
From Local to Global Stability in Stochastic Processing Networks through Quadratic Lyapunov Functions. CoRR abs/1210.0258 (2012) - 2011
- [j3]Venkat Chandrasekaran, Misha Chertkov, David Gamarnik, Devavrat Shah, Jinwoo Shin:
Counting Independent Sets Using the Bethe Approximation. SIAM J. Discret. Math. 25(2): 1012-1034 (2011) - [c5]Ricardo Restrepo, Jinwoo Shin, Prasad Tetali, Eric Vigoda, Linji Yang:
Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets. FOCS 2011: 140-149 - [c4]Devavrat Shah, Jinwoo Shin, Prasad Tetali:
Medium Access Using Queues. FOCS 2011: 698-707 - [i8]Devavrat Shah, Jinwoo Shin, Prasad Tetali:
Efficient Distributed Medium Access. CoRR abs/1104.2380 (2011) - [i7]Ricardo Restrepo, Jinwoo Shin, Prasad Tetali, Eric Vigoda, Linji Yang:
Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets. CoRR abs/1105.0914 (2011) - [i6]Jinwoo Shin:
The Complexity of Approximating a Bethe Equilibrium. CoRR abs/1109.1724 (2011) - [i5]Maria-Florina Balcan, Sara Krehbiel, Georgios Piliouras, Jinwoo Shin:
Near Optimality in Covering and Packing Games by Exposing Global Information. CoRR abs/1109.3606 (2011) - 2010
- [j2]Kyomin Jung, Devavrat Shah, Jinwoo Shin:
Distributed averaging via lifted Markov chains. IEEE Trans. Inf. Theory 56(1): 634-647 (2010) - [j1]Libin Jiang, Devavrat Shah, Jinwoo Shin, Jean C. Walrand:
Distributed Random Access Algorithm: Scheduling and Congestion Control. IEEE Trans. Inf. Theory 56(12): 6182-6207 (2010) - [c3]Devavrat Shah, Jinwoo Shin:
Dynamics in congestion games. SIGMETRICS 2010: 107-118 - [c2]Devavrat Shah, Jinwoo Shin:
Delay optimal queue-based CSMA. SIGMETRICS 2010: 373-374 - [i4]Devavrat Shah, Jinwoo Shin:
Efficient Queue-based CSMA with Collisions. CoRR abs/1003.2749 (2010)
2000 – 2009
- 2009
- [c1]Shreevatsa Rajagopalan, Devavrat Shah, Jinwoo Shin:
Network adiabatic theorem: an efficient randomized protocol for contention resolution. SIGMETRICS/Performance 2009: 133-144 - [i3]Libin Jiang, Devavrat Shah, Jinwoo Shin, Jean C. Walrand:
Distributed Random Access Algorithm: Scheduling and Congesion Control. CoRR abs/0907.1266 (2009) - [i2]Devavrat Shah, Jinwoo Shin:
Randomized Scheduling Algorithm for Queueing Networks. CoRR abs/0908.3670 (2009) - [i1]Kyomin Jung, Devavrat Shah, Jinwoo Shin:
Distributed Averaging via Lifted Markov Chains. CoRR abs/0908.4073 (2009)
Coauthor Index
Michael Chertkov
aka: Misha Chertkov
aka: Misha Chertkov
[i156] [c168] [c166] [i149] [i143] [i137] [i136] [c143] [c137] [c131] [i126] [i123] [i110] [c115] [i106] [c105] [c103] [c97] [c93] [c86] [i92] [i83] [i74] [j23] [c81] [c78] [c73] [c64] [i69] [i67] [i58] [i50] [i48] [c60] [c58] [c53] [i47] [i45] [i40] [c46] [c45] [c43] [c41] [i36] [i34] [c35] [i26] [i25] [i23] [c28]
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