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Min-Yeong Park

2 accepted papers

2025

When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series

ICML 2025poster

Recently, forecasting future abnormal events has emerged as an important scenario to tackle realworld necessities. However, the solution of predicting specific future time points when anomalies will occur, known as Anomaly Prediction (AP), remains under-explored. Existing methods dealing with time s…

Cited by 10SourcePDFScholar
2024

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning

ECCV 2024poster

"Incremental Learning (IL) aims to accumulate knowledge from sequential input tasks while overcoming catastrophic forgetting. Existing IL methods typically assume that an incoming task has only increments of classes or domains, referred to as Class IL (CIL) or Domain IL (DIL), respectively. In this…