Knowledge-Based Systems
데이터 마이닝 · 저널 · 논문 16편 · 연구실 11곳
연도별 논문
전체 · 논문 16편
20262편
20255편
- 강필성SNU
Granularity Fusion Transformer: Learning multi-granularity patterns for time-series forecasting
Jinwoo Park, Hyeongwon Kang, Seunghun Han, Pilsung Kang*
- 장병탁SNU
INQUIRER: Harnessing internal knowledge graphs for video question generation
Woo Suk Choi, Youwon Jang, Minsu Lee, Byoung-Tak Zhang
- 이경호Yonsei
Multi-Domain Dialogue State Tracking via Dual Dynamic Graph with Hierarchical Slot Selector
Yeseul Gong, Heeseon Kim, Seokju Hwang, Donghyun Kim, Kyong-Ho Lee
- 송경우Yonsei
Multi-Query Frequency Prompting for Physiological Signal Domain Adaptation
Jinho Kang, Hoyoon Byun, Taero Kim, Jiyoung Jung, Kyungwoo Song
- 이근배, 김형훈POSTECH
Structured Reasoning and Answer Verification: Enhancing Question Answering System Accuracy and Explainability
Jihyung Lee, Gary Geunbae Lee
20247편
- 홍영준SNU
A novel physics-aware graph networks using high-order numerical methods in weather forecasting model
Y. Seol, S. Kim, M. Jung, and Y. Hong
- 김준모KAIST
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, and Junmo Kim
- 서승호KU
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, and Junmo Kim
- 강필성SNU
DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training
Yukyung Lee, Takyoung Kim, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim*
- 이경호Yonsei
Granular Intents Learning via Mutual Information Maximization for Knowledge-aware Recommendation
Hyeongjun Yang, Yerim Lee, Gayeon Park, TaeYoung Kim, Heeseon Kim, Kyong-Ho Lee, Byungkook Oh
- 오성회SNU
Semantic Environment Atlas for Object-Goal Navigation
Nuri Kim, Jeongho Park, Mineui Hong, and Songhwai Oh
- 강필성SNU
Transformer-based Multivariate Time Series Anomaly Detection using Inter-Variable Attention Mechanism
Hyeongwon Kang, Pilsung Kang*
20232편
- 강필성SNU
FEAT: A General Framework for Feature-Aware Multivariate Time-Series Representation Learning
Subin Kim, Euisuk Chung, Pilsung Kang*
- 서승호KU
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
Sungho Suh, Vitor Fortes Rey, and Paul Lukowicz