← Authors

Hyun Oh Song

28 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (112) πŸš€ Conference Pioneer πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

ICML (13) NIPS (7) CVPR (3) ICLR (2) AAAI (1) ACL (1) AISTATS (1)

Top co-authors

Deokjae Lee (6) Seungyong Moon (6) Yeonwoo Jeong (6) Jang-Hyun Kim (5) Gaon An (5) Jinuk Kim (4) Stefanie Jegelka (4) Sangdoo Yun (3) Trevor Darrell (3) Ross Girshick (2)

Keywords

object detection (3) representation learning (3) adversarial attack (3) metric learning (3) bayesian optimization (2) black-box attack (2) hash code (2) sample efficiency (2) weakly supervised learning (2) image retrieval (2) submodular optimization (2) deep learning (2) offline reinforcement learning (2) structured prediction (2) contrastive learning (2) neural network pruning (2) reinforcement learning (2) combinatorial optimization (2) feature embedding (2) channel pruning (2)

Papers

GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance ICML 2025
Compressed Context Memory for Online Language Model Interaction ICLR 2024
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging ICML 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization ICML 2024
Direct Preference-based Policy Optimization without Reward Modeling NIPS 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NIPS 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming ICML 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning NIPS 2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization ACL 2023
Rethinking Value Function Learning for Generalization in Reinforcement Learning NIPS 2022
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks AAAI 2022
Optimal channel selection with discrete QCQP AISTATS 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization ICML 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble NIPS 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity ICLR 2021
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup ICML 2020
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization CVPR 2019
EMI: Exploration with Mutual Information ICML 2019
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization ICML 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement ICML 2019
Efficient end-to-end learning for quantizable representations ICML 2018
Deep Metric Learning via Facility Location CVPR 2017
Deep Metric Learning via Lifted Structured Feature Embedding CVPR 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation NIPS 2016
On learning to localize objects with minimal supervision ICML 2014
Weakly-supervised Discovery of Visual Pattern Configurations NIPS 2014
Discriminatively Activated Sparselets ICML 2013