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SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Robustness
Published in NeurIPS 2021, 2021
Recommended citation: Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Doguk Kim, Jinwoo Shin. "SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Robustness." NeurIPS 2021.
Rényi Supervised Contrastive Learning for Transferable Representation
Published in Preprint, 2023
Recommended citation: Kyungmin Lee, Minkyu Kim, Jinwoo Shin. "Rényi Supervised Contrastive Learning for Transferable Representation." Preprint.
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Published in NeurIPS 2023, 2023
Recommended citation: Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin. "S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions." NeurIPS 2023.
Image Clustering Conditioned on Text Criteria
Published in ICLR 2024, 2024
Recommended citation: Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee. "Image Clustering Conditioned on Text Criteria." ICLR 2024.
Discovering and Mitigating Visual Biases through Keyword Explanation
Published in CVPR 2024, 2024
Recommended citation: Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin. "Discovering and Mitigating Visual Biases through Keyword Explanation." CVPR 2024.
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
Published in ICLR 2025 (Spotlight), 2025
Recommended citation: Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho. "Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance." ICLR 2025 (Spotlight).
Test-time Alignment of Diffusion Models without Reward Over-optimization
Published in ICLR 2025 (Spotlight), 2025
Recommended citation: Sunwoo Kim, Minkyu Kim, Dongmin Park. "Test-time Alignment of Diffusion Models without Reward Over-optimization." ICLR 2025 (Spotlight).
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Published in ICLR 2026, 2026
Recommended citation: Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, Byeong-Uk Lee, Jaeyoung Hwang, Jaewoo Ahn, Ameya S. Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho. "Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games." ICLR 2026.
VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
Published in ICLR 2026, 2026
Recommended citation: Minkyu Kim, Sangheon Lee, Dongmin Park. "VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?" ICLR 2026.
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
Published in CVPR 2026, 2026
Recommended citation: Jaehyun Park, Minyoung Ahn, Minkyu Kim, Jonghyun Lee, Jae-Gil Lee, Dongmin Park. "See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis." CVPR 2026.