Hyun Oh Song

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 47

Top Venues

CoRR

ICML

NeurIPS

CVPR

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Deokjae Lee, Hyun Oh Song, Kyunghyun Cho
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization. CoRR (2024)
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
Compressed Context Memory for Online Language Model Interaction. ICLR (2024)
Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. CoRR (2024)
Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. CoRR (2023)
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)
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
Compressed Context Memory For Online Language Model Interaction. CoRR (2023)
Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
Direct Preference-based Policy Optimization without Reward Modeling. NeurIPS (2023)
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 (2023)
Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. NeurIPS (2023)
Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. NeurIPS (2023)
Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
Designing an offline reinforcement learning objective from scratch. CoRR (2023)
Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
Neural Relation Graph for Identifying Problematic Data. CoRR (2023)
Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. CoRR (2023)
Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. ICML (2023)
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)
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)
Seungyong Moon, Gaon An, Hyun Oh Song
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. AAAI (2022)
Seungyong Moon, JunYeong Lee, Hyun Oh Song
Rethinking Value Function Learning for Generalization in Reinforcement Learning. CoRR (2022)
Seungyong Moon, JunYeong Lee, Hyun Oh Song
Rethinking Value Function Learning for Generalization in Reinforcement Learning. NeurIPS (2022)
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 (2022)
Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song
Optimal channel selection with discrete QCQP. CoRR (2022)
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 (2022)
Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song
Optimal channel selection with discrete QCQP. AISTATS (2022)
Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. NeurIPS (2021)
Seungyong Moon, Gaon An, Hyun Oh Song
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. CoRR (2021)
Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. CoRR (2021)
Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. CoRR (2021)
Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. ICLR (2021)
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup. ICML (2020)
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup. CoRR (2020)
Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization. CVPR (2019)
Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song
EMI: Exploration with Mutual Information. ICML (2019)
Yeonwoo Jeong, Hyun Oh Song
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. ICML (2019)
Seungyong Moon, Gaon An, Hyun Oh Song
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. ICML (2019)
Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization. CoRR (2019)
Seungyong Moon, Gaon An, Hyun Oh Song
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. CoRR (2019)
Yeonwoo Jeong, Hyun Oh Song
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. CoRR (2019)
Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song
EMI: Exploration with Mutual Information Maximizing State and Action Embeddings. CoRR (2018)
Yeonwoo Jeong, Hyun Oh Song
Efficient end-to-end learning for quantizable representations. ICML (2018)
Yeonwoo Jeong, Hyun Oh Song
Efficient end-to-end learning for quantizable representations. CoRR (2018)
Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy
Semantic Instance Segmentation via Deep Metric Learning. CoRR (2017)
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
Deep Metric Learning via Facility Location. CVPR (2017)
Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese
Deep Metric Learning via Lifted Structured Feature Embedding. CVPR (2016)
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
Learnable Structured Clustering Framework for Deep Metric Learning. CoRR (2016)
Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell
Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. 13 (2) (2016)
Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
Learning Transferrable Representations for Unsupervised Domain Adaptation. NIPS (2016)
Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
Unsupervised Transductive Domain Adaptation. CoRR (2016)
Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese
Deep Metric Learning via Lifted Structured Feature Embedding. CoRR (2015)
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) (2015)
Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell
On learning to localize objects with minimal supervision. ICML (2014)
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 (2014)
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
Weakly-supervised Discovery of Visual Pattern Configurations. CoRR (2014)
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
Weakly-supervised Discovery of Visual Pattern Configurations. NIPS (2014)
Tim Althoff, Hyun Oh Song, Trevor Darrell
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition. CoRR (2014)
Ross B. Girshick, Hyun Oh Song, Trevor Darrell
Discriminatively Activated Sparselets. ICML (1) (2013)
Tim Althoff, Hyun Oh Song, Trevor Darrell
Detection bank: an object detection based video representation for multimedia event recognition. ACM Multimedia (2012)
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)
Hyun Oh Song, Mario Fritz, Chunhui Gu, Trevor Darrell
Visual grasp affordances from appearance-based cues. ICCV Workshops (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hyun Oh Song