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NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.

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전체 논문

논문 174개
# Breakthrough in Neural Scaling Law

Active Prompt Learning with Vision-Language Model Priors

Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, Jungseul Ok · TMLR · 2025
# Foundation Model for Robotics

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models

Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung · TMLR · 2025
# Foundation Model for Robotics

VLM’s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models

Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi, Lee Hyun, Tae-Hyun Oh · TMLR · 2025
# Foundation Model for Robotics

Enhancing Cost Efficiency in Active Learning with Candidate Set Query

Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, Suha Kwak · TMLR · 2025
# High-dimensional Generative Foundation Models

AM-Adapter: Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild

Siyoon Jin, Jisu Nam, Jiyoung Kim, Dahyun Chung, Yeong-Seok Kim, Joonhyung Park, Heonjeong Chu, Seungryong Kim · ICCV · 2025
# High-dimensional Generative Foundation Models

Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation

Keun-Soo Heo, Ji-Wung Han, Soyeon Bak, Minjoo Lim, Bogyeong Kang, Sang-Jun Park, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam · MICCAI · 2025
# High-dimensional Generative Foundation Models

Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Young-Han Son, Bogyeong Kang, Hyeonyeong Nam, Ji-Hoon Jeong, Dong-Hee Shin, Tae-Eui Kam · MICCAI · 2025
# High-dimensional Generative Foundation Models

Pre-to-Post Operative MRI Generation with Retrieval-Based Visual In-Context Learning

Bogyeong Kang, Sang-Jun Park, Minjoo Lim, Myeongkyun Kang, Keun-Soo Heo, Ji-Hye Oh, Hyun Jung Lee, Tae-Eui Kam · MICCAI · 2025
# High-dimensional Generative Foundation Models

Diverse Sharpness-Aware Minimization for Machine Learning Force Fields in Semiconductor Simulations

Dong-Hee Shin, Young-Han Son, Tae-Eui Kam · ISOCC · 2025
# High-dimensional Generative Foundation Models

Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models

Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park · NeurIPS · 2025