Channel Normalization for Time Series Channel Identification

Seunghan Lee, Taeyoung Park, Kibok Lee

Data-centric AI ICML 2025

Channel Normalization for Time Series Channel Identification

Active Learning for Continual Learning: Keeping the Past Alive in the Present

Jaehyeon Park, Dongmin Park, Jae-Gil Lee

Data-centric AI ICLR 2025

Active Learning for Continual Learning: Keeping the Past Alive in the Present

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee

Data-centric AI ICML 2024

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

iGraphMix: Input Graph Mixup Method for Node Classification

Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon, Beomyoung Lee, Junhee Heo, Geonsoo Kim, Jin Seon Kim

Data-centric AI ICLR 2024

iGraphMix: Input Graph Mixup Method for Node Classification

Active Learning is a Strong Baseline for Data Subset Selection

Dongmin Park, Dimitris Papailiopoulos, Kangwook Lee

Data-centric AI NeurIPS 2022 Workshop

Active Learning is a Strong Baseline for Data Subset Selection