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Sungwoong Kim
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2020 – today
- 2024
- [j8]Thanh Xuan Nguyen, Tung Minh Luu
, Tri Ton
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access 12: 100972-100982 (2024) - [c23]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: 14969-14981 - [c22]Gyeongrok Oh
MEVG: Multi-event Video Generation with Text-to-Video Models. ECCV (43) 2024: 401-418 - [c21]SooHwan Eom, Jay Shim, Gwanhyeong Koo, Haebin Na, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo:
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM. EMNLP (Findings) 2024: 14158-14167 - [i25]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 abs/2407.16574 (2024) - [i24]Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim:
Scalable Multi-Task Transfer Learning for Molecular Property Prediction. CoRR abs/2410.00432 (2024) - [i23]Suhwan Choi, Yongjun Cho, Minchan Kim, Jaeyoon Jung, Myunchul Joe, Yubeen Park, Minseo Kim, Sungwoong Kim, Sungjae Lee, Hwiseong Park, Jiwan Chung, Youngjae Yu:
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction. CoRR abs/2410.01273 (2024) - 2023
- [j7]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c20]Sungwoong Kim, Daejin Jo, Donghoon Lee, Jongmin Kim:
MAGVLT: Masked Generative Vision-and-Language Transformer. CVPR 2023: 23338-23348 - [c19]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: 2683-2702 - [c18]Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim:
Score-based Generative Models with Lévy Processes. NeurIPS 2023 - [i22]Sungwoong Kim, DaeJin Jo, Donghoon Lee, Jongmin Kim:
MAGVLT: Masked Generative Vision-and-Language Transformer. CoRR abs/2303.12208 (2023) - [i21]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 abs/2305.13973 (2023) - [i20]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 abs/2310.06404 (2023) - [i19]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 abs/2312.04086 (2023) - 2022
- [c17]DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim:
Selective Token Generation for Few-shot Natural Language Generation. COLING 2022: 5837-5856 - [c16]Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. CVPR Workshops 2022: 3910-3919 - [c15]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 - [i18]Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. CoRR abs/2201.06247 (2022) - [i17]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
Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022) - [i16]DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim:
Selective Token Generation for Few-shot Natural Language Generation. CoRR abs/2209.08206 (2022) - [i15]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 abs/2210.05409 (2022) - 2021
- [c14]Taesup Kim, Sungwoong Kim, Yoshua Bengio:
Visual Concept Reasoning Networks. AAAI 2021: 8172-8180 - [c13]Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim:
Spatially Consistent Representation Learning. CVPR 2021: 1144-1153 - [c12]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. NeurIPS (Competition and Demos) 2021: 41-52 - [i14]Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim:
Spatially Consistent Representation Learning. CoRR abs/2103.06122 (2021) - [i13]Saehoon Kim, Sungwoong Kim, Juho Lee:
Hybrid Generative-Contrastive Representation Learning. CoRR abs/2106.06162 (2021) - [i12]Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim:
Automated Learning Rate Scheduler for Large-batch Training. CoRR abs/2107.05855 (2021) - 2020
- [c11]Ildoo Kim, Woonhyuk Baek, Sungwoong Kim:
Spatially Attentive Output Layer for Image Classification. CVPR 2020: 9530-9539 - [c10]Ildoo Kim, Younghoon Kim, Sungwoong Kim:
Learning Loss for Test-Time Augmentation. NeurIPS 2020 - [i11]Ildoo Kim, Woonhyuk Baek, Sungwoong Kim:
Spatially Attentive Output Layer for Image Classification. CoRR abs/2004.07570 (2020) - [i10]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 abs/2004.09910 (2020) - [i9]Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim:
AutoCLINT: The Winning Method in AutoCV Challenge 2019. CoRR abs/2005.04373 (2020) - [i8]Taesup Kim, Sungwoong Kim, Yoshua Bengio:
Visual Concept Reasoning Networks. CoRR abs/2008.11783 (2020) - [i7]Ildoo Kim, Younghoon Kim, Sungwoong Kim:
Learning Loss for Test-Time Augmentation. CoRR abs/2010.11422 (2020)
2010 – 2019
- 2019
- [c9]Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo:
Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR 2019: 11-20 - [c8]Sungwoong Kim, Ildoo Kim, Sungbin Lim
Scalable Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (3) 2019: 220-228 - [c7]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. NeurIPS 2019: 6167-6178 - [c6]Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim:
Fast AutoAugment. NeurIPS 2019: 6662-6672 - [i6]Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim:
Fast AutoAugment. CoRR abs/1905.00397 (2019) - [i5]Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo:
Edge-labeling Graph Neural Network for Few-shot Learning. CoRR abs/1905.01436 (2019) - [i4]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 abs/1906.05956 (2019) - [i3]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. CoRR abs/1910.09170 (2019) - 2018
- [c5]Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn:
Bayesian Model-Agnostic Meta-Learning. NeurIPS 2018: 7343-7353 - [i2]Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn:
Bayesian Model-Agnostic Meta-Learning. CoRR abs/1806.03836 (2018) - 2015
- [j6]Jörg H. Kappes, Björn Andres
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115(2): 155-184 (2015) - 2014
- [j5]Sungwoong Kim, Chang Dong Yoo, Sebastian Nowozin, Pushmeet Kohli:
Image Segmentation UsingHigher-Order Correlation Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1761-1774 (2014) - [i1]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 abs/1404.0533 (2014) - 2013
- [j4]Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo:
Task-Specific Image Partitioning. IEEE Trans. Image Process. 22(2): 488-500 (2013) - [c4]Jörg H. Kappes, Björn Andres
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013: 1328-1335 - 2011
- [j3]Sungwoong Kim, Sungrack Yun, Chang D. Yoo:
Large Margin Discriminative Semi-Markov Model for Phonetic Recognition. IEEE Trans. Speech Audio Process. 19(7): 1999-2012 (2011) - [c3]Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo:
Higher-Order Correlation Clustering for Image Segmentation. NIPS 2011: 1530-1538 - 2010
- [j2]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): 342-350 (2010) - [c2]Sungwoong Kim, Sungrack Yun, Chang Dong Yoo:
Largemargin training of semi-Markov model for phonetic recognition. ICASSP 2010: 1910-1913
2000 – 2009
- 2009
- [j1]Dalwon Jang, Chang Dong Yoo, Sunil Lee, Sungwoong Kim, Ton Kalker:
Pairwise boosted audio fingerprint. IEEE Trans. Inf. Forensics Secur. 4(4): 995-1004 (2009) - 2007
- [c1]Sungwoong Kim, Chang Dong Yoo:
Boosted Binary Audio Fingerprint Based on Spectral Subband Moments. ICASSP (1) 2007: 241-244
Coauthor Index
aka: DaeJin Jo
aka: Chang D. Yoo
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last updated on 2024-11-19 20:46 CET by the dblp team
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