Scientific Frontiers
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
Governance
Organization & Structure
Strategic Advisors Board
Ecosystem
Academic Consortium
Industry Alliances
Public Sector Partners
Global Research Network
Knowledge Hub
Media
Symposia & Open Labs
Seminars
Newsletter
About NAIRL
Mission & Vision
Leadership
Team
Facilities & Contact
EN
·
KO
Join us
EN
·
KO
Join us
esc
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
선도 연구 주제
전체 논문
NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.
←
연구 아카이브로 돌아가기
All
174
Beyond Scaling Laws
87
Physical AI & Robotics
60
High-dimensional Generative Models
27
전체 논문
논문 174개
# Breakthrough in Neural Scaling Law
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee ·
ICML
· 2025
# Breakthrough in Neural Scaling Law
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes
Jumin Han, Jun-Hee Kim, Seong-Whan Lee ·
NeurIPS
· 2025
# Breakthrough in Neural Scaling Law
GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs
Kun-Woo Kim, Ji-Hoon Park, Ju-Min Han, Seong-Whan Lee ·
IJCNN
· 2025
# Breakthrough in Neural Scaling Law
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition
Lintong Zhang, Kang Yin, Seong-Whan Lee ·
CVPR
· 2025
# Breakthrough in Neural Scaling Law
DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer
Ho-Joong Kim, Yearang Lee, Jung-Ho Hong, Seong-Whan Lee ·
CVPR
· 2025
# Breakthrough in Neural Scaling Law
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs
Minsu Koh, Beom-Chul Park, Heejo Kong, Seong-Whan Lee ·
IJCNN
· 2025
# Breakthrough in Neural Scaling Law
ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
Singon Kim, Gunho Jung, Seong-Whan Lee ·
IJCNN
· 2025
# Breakthrough in Neural Scaling Law
Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee ·
IJCNN
· 2025
# Breakthrough in Neural Scaling Law
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow
Jumin Han, Jun-Hee Kim, Seong-Whan Lee ·
AAAI
· 2025
# Breakthrough in Neural Scaling Law
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
Woosung Kim, Jinho Lee, Jongmin Lee, Byung-Jun Lee ·
NeurIPS
· 2025
← Prev
1
…
5
6
7
8
9
…
18
Next →