Yoon, Sungroh

68 publications

AAAI 2025 Battling the Non-Stationarity in Time Series Forecasting via Test-Time Adaptation HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon
ICML 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection Hyungi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon
CVPR 2025 DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection Jaewoo Song, Daemin Park, Kanghyun Baek, Sangyub Lee, Jooyoung Choi, Eunji Kim, Sungroh Yoon
AAAI 2025 Disentangled Motion Modeling for Video Frame Interpolation Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
NeurIPS 2025 Interpretable Next-Token Prediction via the Generalized Induction Head Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
ICCV 2025 Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung, Sungroh Yoon
CVPR 2025 Large-Scale Text-to-Image Model with Inpainting Is a Zero-Shot Subject-Driven Image Generator Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon
NeurIPS 2025 RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models Yeongtak Oh, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Jisoo Mok, Sungroh Yoon
JMLR 2025 Regularizing Hard Examples Improves Adversarial Robustness Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon
CVPR 2025 Rethinking Training for De-Biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion Eunji Kim, Siwon Kim, Minjun Park, Rahim Entezari, Sungroh Yoon
ICML 2025 Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon
ICML 2025 Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon
ICLR 2024 DAFA: Distance-Aware Fair Adversarial Training Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
ECCV 2024 Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
ICLR 2024 Entropy Is Not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
NeurIPSW 2024 Exploring Intrinsic Fairness in Stable Diffusion Eunji Kim, Siwon Kim, Robin Rombach, Rahim Entezari, Sungroh Yoon
NeurIPS 2024 Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting Bong Gyun Kang, Dongjun Lee, HyunGi Kim, DoHyun Chung, Sungroh Yoon
NeurIPS 2024 Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha, Sungroh Yoon, Kang Min Yoo
ICLR 2024 SF(DA)$^2$: Source-Free Domain Adaptation Through the Lens of Data Augmentation Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
JMLR 2024 Sample-Efficient Adversarial Imitation Learning Dahuin Jung, Hyungyu Lee, Sungroh Yoon
NeurIPS 2024 Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
NeurIPS 2024 Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon
ICLR 2023 BigVGAN: A Universal Neural Vocoder with Large-Scale Training Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
NeurIPS 2023 CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon
ICMLW 2023 De-Stereotyping Text-to-Image Models Through Prompt Tuning Eunji Kim, Siwon Kim, Chaehun Shin, Sungroh Yoon
ACML 2023 Edit-a-Video: Single Video Editing with Object-Aware Consistency Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
ICML 2023 Improving Visual Prompt Tuning for Self-Supervised Vision Transformers Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
ICLR 2023 New Insights for the Stability-Plasticity Dilemma in Online Continual Learning Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
ICML 2023 On the Impact of Knowledge Distillation for Model Interpretability Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
NeurIPS 2023 P-Flow: A Fast and Data-Efficient Zero-Shot TTS Through Speech Prompting Sungwon Kim, Kevin Shih, Rohan Badlani, Joao Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro
NeurIPS 2023 PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
NeurIPS 2023 ProPILE: Probing Privacy Leakage in Large Language Models Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ICML 2023 Probabilistic Concept Bottleneck Models Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
ICML 2022 AutoSNN: Towards Energy-Efficient Spiking Neural Networks Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
CVPR 2022 BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras Jaihyun Koh, Jangho Lee, Sungroh Yoon
CVPR 2022 Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon
ICML 2022 Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
ICML 2022 Dataset Condensation with Contrastive Signals Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
CVPR 2022 Demystifying the Neural Tangent Kernel from a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
CVPR 2022 E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations Jongwan Kim, DongJin Lee, Byunggook Na, Seongsik Park, Sungroh Yoon
ICML 2022 Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance Heeseung Kim, Sungwon Kim, Sungroh Yoon
CVPR 2022 Perception Prioritized Training of Diffusion Models Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
ICLR 2022 PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
NeurIPSW 2022 Sample-Efficient Adversarial Imitation Learning Dahuin Jung, Hyungyu Lee, Sungroh Yoon
ICLR 2022 Stein Latent Optimization for Generative Adversarial Networks Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
AAAI 2022 Towards a Rigorous Evaluation of Time-Series Anomaly Detection Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
CVPR 2022 Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
IJCAI 2021 Accelerating Neural Architecture Search via Proxy Data Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
ICCV 2021 AdvRush: Searching for Adversarially Robust Neural Architectures Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
CVPR 2021 Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation Jungbeom Lee, Eunji Kim, Sungroh Yoon
CVPR 2021 BBAM: Bounding Box Attribution mAP for Weakly Supervised Semantic and Instance Segmentation Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon
ICCV 2021 ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
NeurIPS 2021 Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
ICLR 2021 Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
ICCV 2021 Toward Spatially Unbiased Generative Models Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon
CVPR 2021 XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon
NeurIPS 2020 Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon
NeurIPS 2020 NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity Sang-gil Lee, Sungwon Kim, Sungroh Yoon
AAAI 2020 Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon
ECCV 2020 iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
ICML 2019 FloWaveNet : A Generative Flow for Raw Audio Sungwon Kim, Sang-Gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon
ICML 2019 HexaGAN: Generative Adversarial Nets for Real World Classification Uiwon Hwang, Dahuin Jung, Sungroh Yoon
AAAI 2018 Quantized Memory-Augmented Neural Networks Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon
NeurIPS 2017 Deep Recurrent Neural Network-Based Identification of Precursor microRNAs Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
AAAI 2017 Transfer Learning for Deep Learning on Graph-Structured Data Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon
NeurIPS 2016 Neural Universal Discrete Denoiser Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon
ICML 2015 Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions Taehoon Lee, Sungroh Yoon