선도 연구 주제

전체 논문

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

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Beyond Scaling Laws

논문 87개
# Breakthrough in Neural Scaling Law

Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing

Joowon Kim, Ziseok Lee, Donghyeon Cho, Sanghyun Jo, Yeonsung Jung, Kyungsu Kim, Eunho Yang · ICCV · 2025
# Breakthrough in Neural Scaling Law

Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens

Sohee Kim, Soohyun Ryu, Joonhyung Park, Eunho Yang · EMNLP · 2025
# Breakthrough in Neural Scaling Law

Towards Symbolic XAI — Explanation Through Human Understandable Logical Relationships Between Features

Thomas Schnake, Farnoush Rezaei Jafari, Jonas Lederer, Ping Xiong, Shinichi Nakajima, Stefan Gugler, Grégoire Montavon, Klaus-Robert Müller · Information Fusion · 2025
# Breakthrough in Neural Scaling Law

Local-Global Temporal Fusion Network With an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification

Yun Kwan Kim, Minji Lee, Hee Seok Song, Seong-Whan Lee · IEEE Transactions on Systems, Man, and Cybernetics: Systems · 2025
# Breakthrough in Neural Scaling Law

Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model

Seung-Hyup Na, Seong-Whan Lee · IEEE Transactions on Neural Networks and Learning Systems · 2025
# Breakthrough in Neural Scaling Law

Diversify and Conquer: Open-Set Disagreement for Robust Semi-Supervised Learning With Outliers

Heejo Kong, Sung-Jin Kim, Gunho Jung, Seong-Whan Lee · IEEE Transactions on Neural Networks and Learning Systems · 2025
# Breakthrough in Neural Scaling Law

VQ-FedDiff: Federated Learning Algorithm of Diffusion Models with Client-Specific Vector-Quantized Conditioning

Tehrim Yoon, Minyoung Hwang, Eunho Yang · TPAMI · 2025