Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator

no code implementations • 6 Mar 2024 • Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im

Real-time processing is crucial in autonomous driving systems due to the imperative of instantaneous decision-making and rapid response.

Autonomous Driving Decision Making +5

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations

no code implementations • 8 Nov 2023 • Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park

Long-term time series forecasting (LTSF) is a challenging task that has been investigated in various domains such as finance investment, health care, traffic, and weather forecasting.

Time Series Time Series Forecasting +1