Sungwoong Kim

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 41

Top Topics

Correlation Clustering

Eligibility Traces

Reinforcement Learning

Energy Minimization Problems

Top Venues

Int. J. Comput. Vis.

Publications

Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR (2024)
Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. ACL (Findings) (2024)
Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access 12 (2024)
Eunbi Choi, Kyoung-Woon On, Gunsoo Han, Sungwoong Kim, Daniel Wontae Nam, Daejin Jo, Seungeun Rho, Taehwan Kwon, Minjoon Seo
Effortless Integration of Memory Management into Open-Domain Conversation Systems. CoRR (2023)
Sungwoong Kim, DaeJin Jo, Donghoon Lee, Jongmin Kim
MAGVLT: Masked Generative Vision-and-Language Transformer. CoRR (2023)
Daejin Jo, Daniel Wontae Nam, Gunsoo Han, Kyoung-Woon On, Taehwan Kwon, Seungeun Rho, Sungwoong Kim
Hexa: Self-Improving for Knowledge-Grounded Dialogue System. CoRR (2023)
Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim
Score-based Generative Models with Lévy Processes. NeurIPS (2023)
Sungwoong Kim, Daejin Jo, Donghoon Lee, Jongmin Kim
MAGVLT: Masked Generative Vision-and-Language Transformer. CVPR (2023)
Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim
MTVG : Multi-text Video Generation with Text-to-Video Models. CoRR (2023)
Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang Dong Yoo, Sungwoong Kim
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation. EMNLP (Findings) (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
Contrastive Regularization for Semi-Supervised Learning. CoRR (2022)
DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim
Selective Token Generation for Few-shot Natural Language Generation. CoRR (2022)
DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward. CoRR (2022)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. CoRR (2022)
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
Contrastive Regularization for Semi-Supervised Learning. CVPR Workshops (2022)
DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward. NeurIPS (2022)
DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim
Selective Token Generation for Few-shot Natural Language Generation. COLING (2022)
Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim
Automated Learning Rate Scheduler for Large-batch Training. CoRR (2021)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) (2021)
Taesup Kim, Sungwoong Kim, Yoshua Bengio
Visual Concept Reasoning Networks. AAAI (2021)
Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim
Spatially Consistent Representation Learning. CoRR (2021)
Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim
Spatially Consistent Representation Learning. CVPR (2021)
Saehoon Kim, Sungwoong Kim, Juho Lee
Hybrid Generative-Contrastive Representation Learning. CoRR (2021)
Ildoo Kim, Woonhyuk Baek, Sungwoong Kim
Spatially Attentive Output Layer for Image Classification. CoRR (2020)
Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models. CoRR (2020)
Taesup Kim, Sungwoong Kim, Yoshua Bengio
Visual Concept Reasoning Networks. CoRR (2020)
Ildoo Kim, Woonhyuk Baek, Sungwoong Kim
Spatially Attentive Output Layer for Image Classification. CVPR (2020)
Ildoo Kim, Younghoon Kim, Sungwoong Kim
Learning Loss for Test-Time Augmentation. CoRR (2020)
Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim
AutoCLINT: The Winning Method in AutoCV Challenge 2019. CoRR (2020)
Ildoo Kim, Younghoon Kim, Sungwoong Kim
Learning Loss for Test-Time Augmentation. NeurIPS (2020)
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
Fast AutoAugment. CoRR (2019)
Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
Scalable Neural Architecture Search for 3D Medical Image Segmentation. CoRR (2019)
Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR (2019)
Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
Edge-labeling Graph Neural Network for Few-shot Learning. CoRR (2019)
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
Mining GOLD Samples for Conditional GANs. CoRR (2019)
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
Mining GOLD Samples for Conditional GANs. NeurIPS (2019)
Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
Scalable Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (3) (2019)
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
Fast AutoAugment. NeurIPS (2019)
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
Bayesian Model-Agnostic Meta-Learning. NeurIPS (2018)
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
Bayesian Model-Agnostic Meta-Learning. CoRR (2018)
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115 (2) (2015)
Sungwoong Kim, Chang Dong Yoo, Sebastian Nowozin, Pushmeet Kohli
Image Segmentation UsingHigher-Order Correlation Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36 (9) (2014)
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR (2014)
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR (2013)
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
Task-Specific Image Partitioning. IEEE Trans. Image Process. 22 (2) (2013)
Sungwoong Kim, Sungrack Yun, Chang D. Yoo
Large Margin Discriminative Semi-Markov Model for Phonetic Recognition. IEEE Trans. Speech Audio Process. 19 (7) (2011)
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo
Higher-Order Correlation Clustering for Image Segmentation. NIPS (2011)
Owen Thomas, Peter Sunehag, Gideon Dror, Sungrack Yun, Sungwoong Kim, Matthew W. Robards, Alexander J. Smola, Daniel Green, Philo Saunders
Wearable sensor activity analysis using semi-Markov models with a grammar. Pervasive Mob. Comput. 6 (3) (2010)
Sungwoong Kim, Sungrack Yun, Chang Dong Yoo
Largemargin training of semi-Markov model for phonetic recognition. ICASSP (2010)
Dalwon Jang, Chang Dong Yoo, Sunil Lee, Sungwoong Kim, Ton Kalker
Pairwise boosted audio fingerprint. IEEE Trans. Inf. Forensics Secur. 4 (4) (2009)
Sungwoong Kim, Chang Dong Yoo
Boosted Binary Audio Fingerprint Based on Spectral Subband Moments. ICASSP (1) (2007)