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ORCIDHyun Oh Song
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2020 – today
- 2024
[c30]Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song:
Compressed Context Memory for Online Language Model Interaction. ICLR 2024- [c29]Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song:
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. ICML 2024 - [c28]Deokjae Lee, Hyun Oh Song, Kyunghyun Cho:
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization. ICML 2024 - [i30]Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song:
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. CoRR abs/2406.12837 (2024) - [i29]Deokjae Lee, Hyun Oh Song, Kyunghyun Cho:
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization. CoRR abs/2406.14876 (2024) - [i28]Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho:
Targeted Cause Discovery with Data-Driven Learning. CoRR abs/2408.16218 (2024) - [i27]Seungyong Moon, Bumsoo Park, Hyun Oh Song:
Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance. CoRR abs/2410.02992 (2024) - 2023
- [c27]Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song:
Query-Efficient Black-Box Red Teaming via Bayesian Optimization. ACL (1) 2023: 11551-11574 - [c26]Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song:
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. ICML 2023: 16502-16520 - [c25]Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song:
Direct Preference-based Policy Optimization without Reward Modeling. NeurIPS 2023 - [c24]Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song:
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. NeurIPS 2023 - [c23]Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song:
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. NeurIPS 2023 - [i26]Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song:
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. CoRR abs/2301.12187 (2023) - [i25]Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song:
Neural Relation Graph for Identifying Problematic Data. CoRR abs/2301.12321 (2023) - [i24]Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song:
Designing an offline reinforcement learning objective from scratch. CoRR abs/2301.12842 (2023) - [i23]Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song:
Query-Efficient Black-Box Red Teaming via Bayesian Optimization. CoRR abs/2305.17444 (2023) - [i22]Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song:
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. CoRR abs/2307.03486 (2023) - [i21]Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song:
Compressed Context Memory For Online Language Model Interaction. CoRR abs/2312.03414 (2023) - 2022
- [c22]Seungyong Moon, Gaon An, Hyun Oh Song:
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. AAAI 2022: 7823-7830 - [c21]Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song:
Optimal channel selection with discrete QCQP. AISTATS 2022: 7915-7941 - [c20]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML 2022: 11102-11118 - [c19]Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song:
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. ICML 2022: 12478-12497 - [c18]Seungyong Moon, JunYeong Lee, Hyun Oh Song:
Rethinking Value Function Learning for Generalization in Reinforcement Learning. NeurIPS 2022 - [i20]Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song:
Optimal channel selection with discrete QCQP. CoRR abs/2202.12417 (2022) - [i19]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha
, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR abs/2205.14959 (2022) - [i18]Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song:
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. CoRR abs/2206.08575 (2022) - [i17]Seungyong Moon, JunYeong Lee, Hyun Oh Song:
Rethinking Value Function Learning for Generalization in Reinforcement Learning. CoRR abs/2210.09960 (2022) - 2021
- [c17]Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song:
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. ICLR 2021 - [c16]Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song:
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. NeurIPS 2021: 7436-7447 - [i16]Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song:
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. CoRR abs/2102.03065 (2021) - [i15]Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song:
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. CoRR abs/2110.01548 (2021) - [i14]Seungyong Moon, Gaon An, Hyun Oh Song:
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. CoRR abs/2112.05634 (2021) - 2020
- [c15]Jang-Hyun Kim, Wonho Choo, Hyun Oh Song:
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup. ICML 2020: 5275-5285 - [i13]Jang-Hyun Kim, Wonho Choo, Hyun Oh Song:
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup. CoRR abs/2009.06962 (2020)
2010 – 2019
- 2019
- [c14]Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song:
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization. CVPR 2019: 11379-11387 - [c13]Yeonwoo Jeong, Hyun Oh Song:
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. ICML 2019: 3091-3099 - [c12]Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song:
EMI: Exploration with Mutual Information. ICML 2019: 3360-3369 - [c11]Seungyong Moon, Gaon An, Hyun Oh Song:
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. ICML 2019: 4636-4645 - [i12]Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song:
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization. CoRR abs/1902.10990 (2019) - [i11]Seungyong Moon, Gaon An, Hyun Oh Song:
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. CoRR abs/1905.06635 (2019) - [i10]Yeonwoo Jeong, Hyun Oh Song:
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. CoRR abs/1905.09432 (2019) - 2018
- [c10]Yeonwoo Jeong, Hyun Oh Song:
Efficient end-to-end learning for quantizable representations. ICML 2018: 2269-2278 - [i9]Yeonwoo Jeong, Hyun Oh Song:
Efficient end-to-end learning for quantizable representations. CoRR abs/1805.05809 (2018) - [i8]Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song:
EMI: Exploration with Mutual Information Maximizing State and Action Embeddings. CoRR abs/1810.01176 (2018) - 2017
- [c9]Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy:
Deep Metric Learning via Facility Location. CVPR 2017: 2206-2214 - [i7]Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy:
Semantic Instance Segmentation via Deep Metric Learning. CoRR abs/1703.10277 (2017) - 2016
- [j2]Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell:
Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. 13(2): 798-809 (2016) - [c8]Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese:
Deep Metric Learning via Lifted Structured Feature Embedding. CVPR 2016: 4004-4012 - [c7]Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese:
Learning Transferrable Representations for Unsupervised Domain Adaptation. NIPS 2016: 2110-2118 - [i6]Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese:
Unsupervised Transductive Domain Adaptation. CoRR abs/1602.03534 (2016) - [i5]Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy:
Learnable Structured Clustering Framework for Deep Metric Learning. CoRR abs/1612.01213 (2016) - 2015
- [j1]Hyun Oh Song, Ross B. Girshick, Stefan Zickler, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 1001-1012 (2015) - [i4]Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese:
Deep Metric Learning via Lifted Structured Feature Embedding. CoRR abs/1511.06452 (2015) - 2014
- [b1]Hyun Oh Song:
Learning with Parsimony for Large Scale Object Detection and Discovery. University of California, Berkeley, USA, 2014 - [c6]Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell:
On learning to localize objects with minimal supervision. ICML 2014: 1611-1619 - [c5]Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell:
Weakly-supervised Discovery of Visual Pattern Configurations. NIPS 2014: 1637-1645 - [i3]Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell:
One-Bit Object Detection: On learning to localize objects with minimal supervision. CoRR abs/1403.1024 (2014) - [i2]Tim Althoff, Hyun Oh Song, Trevor Darrell:
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition. CoRR abs/1405.7102 (2014) - [i1]Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell:
Weakly-supervised Discovery of Visual Pattern Configurations. CoRR abs/1406.6507 (2014) - 2013
- [c4]Ross B. Girshick, Hyun Oh Song, Trevor Darrell:
Discriminatively Activated Sparselets. ICML (1) 2013: 196-204 - 2012
- [c3]Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) 2012: 802-815 - [c2]Tim Althoff, Hyun Oh Song, Trevor Darrell:
Detection bank: an object detection based video representation for multimedia event recognition. ACM Multimedia 2012: 1065-1068 - 2011
- [c1]Hyun Oh Song, Mario Fritz, Chunhui Gu, Trevor Darrell:
Visual grasp affordances from appearance-based cues. ICCV Workshops 2011: 998-1005
Coauthor Index
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