Song, Hyun Oh

30 publications

ICML 2025 GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens Js Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song

NeurIPS 2025 KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song

TMLR 2025 Large-Scale Targeted Cause Discovery via Learning from Simulated Data Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho

NeurIPS 2025 Learning to Better Search with Language Models via Guided Reinforced Self-Training Seungyong Moon, Bumsoo Park, Hyun Oh Song

NeurIPS 2025 Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment Deokjae Lee, Hyun Oh Song

ICLR 2024 Compressed Context Memory for Online Language Model Interaction Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song

ICML 2024 LayerMerge: Neural Network Depth Compression Through Layer Pruning and Merging Jinuk Kim, Marwa El Halabi, Mingi Ji, Hyun Oh Song

ICML 2024 Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee, Hyun Oh Song, Kyunghyun Cho

NeurIPS 2023 Direct Preference-Based Policy Optimization Without Reward Modeling Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song

NeurIPS 2023 Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song

ICML 2023 Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song

NeurIPS 2023 Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song

ICML 2022 Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song

AAAI 2022 Preemptive Image Robustification for Protecting Users Against Man-in-the-Middle Adversarial Attacks Seungyong Moon, Gaon An, Hyun Oh Song

ICML 2022 Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song

NeurIPS 2022 Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon, JunYeong Lee, Hyun Oh Song

ICLR 2021 Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity JangHyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song

NeurIPS 2021 Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song

ICML 2020 Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim, Wonho Choo, Hyun Oh Song

ICML 2019 EMI: Exploration with Mutual Information Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song

ICML 2019 Learning Discrete and Continuous Factors of Data via Alternating Disentanglement Yeonwoo Jeong, Hyun Oh Song

ICML 2019 Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization Seungyong Moon, Gaon An, Hyun Oh Song

ICML 2018 Efficient End-to-End Learning for Quantizable Representations Yeonwoo Jeong, Hyun Oh Song

CVPR 2017 Deep Metric Learning via Facility Location Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy

CVPR 2016 Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese

NeurIPS 2016 Learning Transferrable Representations for Unsupervised Domain Adaptation Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese

ICML 2014 On Learning to Localize Objects with Minimal Supervision Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell

NeurIPS 2014 Weakly-Supervised Discovery of Visual Pattern Configurations Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell

ICML 2013 Discriminatively Activated Sparselets Ross Girshick, Hyun Oh Song, Trevor Darrell

ECCV 2012 Sparselet Models for Efficient Multiclass Object Detection Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell