Hyun Oh Song - RankMe

68 papers A* 24A 1Journal 36Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance. ICML Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens J. S. Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song
2025	J	`jnl`	GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance. CoRR Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens JS Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song
2025	J	`jnl`	KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction. CoRR Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song
2025	J	`jnl`	Large-Scale Targeted Cause Discovery via Learning from Simulated Data. Trans. Mach. Learn. Res. Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho
2025	J	`jnl`	Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment. CoRR Deokjae Lee, Hyun Oh Song
2024	A*	`conf`	Compressed Context Memory for Online Language Model Interaction. ICLR Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
2024	J	`jnl`	Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance. CoRR Seungyong Moon, Bumsoo Park, Hyun Oh Song
2024	A*	`conf`	LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. ICML Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song
2024	J	`jnl`	LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging. CoRR Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song
2024	J	`jnl`	Targeted Cause Discovery with Data-Driven Learning. CoRR Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho
2024	A*	`conf`	Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization. ICML Deokjae Lee, Hyun Oh Song, Kyunghyun Cho
2024	J	`jnl`	Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization. CoRR Deokjae Lee, Hyun Oh Song, Kyunghyun Cho
2023	J	`jnl`	Compressed Context Memory For Online Language Model Interaction. CoRR Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
2023	J	`jnl`	Designing an offline reinforcement learning objective from scratch. CoRR Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
2023	A*	`conf`	Direct Preference-based Policy Optimization without Reward Modeling. NeurIPS Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
2023	A*	`conf`	Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. NeurIPS Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
2023	J	`jnl`	Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. CoRR Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
2023	A*	`conf`	Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. ICML Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song
2023	J	`jnl`	Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming. CoRR Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song
2023	J	`jnl`	Neural Relation Graph for Identifying Problematic Data. CoRR Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
2023	A*	`conf`	Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. NeurIPS Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song
2023	—	`conf`	Query-Efficient Black-Box Red Teaming via Bayesian Optimization. ACL (1) Deokjae Lee, Junyeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song
2023	J	`jnl`	Query-Efficient Black-Box Red Teaming via Bayesian Optimization. CoRR Deokjae Lee, Junyeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song
2022	A*	`conf`	Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	J	`jnl`	Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	A	`conf`	Optimal channel selection with discrete QCQP. AISTATS Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song
2022	J	`jnl`	Optimal channel selection with discrete QCQP. CoRR Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song
2022	A*	`conf`	Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. AAAI Seungyong Moon, Gaon An, Hyun Oh Song
2022	A*	`conf`	Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. ICML Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song
2022	J	`jnl`	Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. CoRR Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song
2022	A*	`conf`	Rethinking Value Function Learning for Generalization in Reinforcement Learning. NeurIPS Seungyong Moon, Junyeong Lee, Hyun Oh Song
2022	J	`jnl`	Rethinking Value Function Learning for Generalization in Reinforcement Learning. CoRR Seungyong Moon, Junyeong Lee, Hyun Oh Song
2021	A*	`conf`	Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. ICLR Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song
2021	J	`jnl`	Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. CoRR Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song
2021	J	`jnl`	Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. CoRR Seungyong Moon, Gaon An, Hyun Oh Song
2021	A*	`conf`	Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. NeurIPS Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
2021	J	`jnl`	Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. CoRR Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
2020	A*	`conf`	Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup. ICML Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
2020	J	`jnl`	Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup. CoRR Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
2019	A*	`conf`	EMI: Exploration with Mutual Information. ICML HyoungSeok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song
2019	A*	`conf`	End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization. CVPR Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
2019	J	`jnl`	End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization. CoRR Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
2019	A*	`conf`	Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. ICML Yeonwoo Jeong, Hyun Oh Song
2019	J	`jnl`	Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. CoRR Yeonwoo Jeong, Hyun Oh Song
2019	A*	`conf`	Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. ICML Seungyong Moon, Gaon An, Hyun Oh Song
2019	J	`jnl`	Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. CoRR Seungyong Moon, Gaon An, Hyun Oh Song
2018	J	`jnl`	EMI: Exploration with Mutual Information Maximizing State and Action Embeddings. CoRR HyoungSeok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song
2018	A*	`conf`	Efficient end-to-end learning for quantizable representations. ICML Yeonwoo Jeong, Hyun Oh Song
2018	J	`jnl`	Efficient end-to-end learning for quantizable representations. CoRR Yeonwoo Jeong, Hyun Oh Song
2017	A*	`conf`	Deep Metric Learning via Facility Location. CVPR Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
2017	J	`jnl`	Semantic Instance Segmentation via Deep Metric Learning. CoRR Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy
2016	A*	`conf`	Deep Metric Learning via Lifted Structured Feature Embedding. CVPR Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese
2016	J	`jnl`	Learnable Structured Clustering Framework for Deep Metric Learning. CoRR Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
2016	—	`conf`	Learning Transferrable Representations for Unsupervised Domain Adaptation. NIPS Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
2016	J	`jnl`	Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell
2016	J	`jnl`	Unsupervised Transductive Domain Adaptation. CoRR Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
2015	J	`jnl`	Deep Metric Learning via Lifted Structured Feature Embedding. CoRR Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese
2015	J	`jnl`	Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Hyun Oh Song, Ross B. Girshick, Stefan Zickler, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell
2014	J	`jnl`	Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition. CoRR Tim Althoff, Hyun Oh Song, Trevor Darrell
2014	—	`—`	Learning with Parsimony for Large Scale Object Detection and Discovery. Hyun Oh Song
2014	A*	`conf`	On learning to localize objects with minimal supervision. ICML Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell
2014	J	`jnl`	One-Bit Object Detection: On learning to localize objects with minimal supervision. CoRR Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell
2014	—	`conf`	Weakly-supervised Discovery of Visual Pattern Configurations. NIPS Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
2014	J	`jnl`	Weakly-supervised Discovery of Visual Pattern Configurations. CoRR Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
2013	—	`conf`	Discriminatively Activated Sparselets. ICML (1) Ross B. Girshick, Hyun Oh Song, Trevor Darrell
2012	A*	`conf`	Detection bank: an object detection based video representation for multimedia event recognition. ACM Multimedia Tim Althoff, Hyun Oh Song, Trevor Darrell
2012	—	`conf`	Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell
2011	—	`conf`	Visual grasp affordances from appearance-based cues. ICCV Workshops Hyun Oh Song, Mario Fritz, Chunhui Gu, Trevor Darrell