3 papers
cs.LG2025
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
Heitor R. Medeiros, Hossein Sharifi-Noghabi, Gabriel L. Oliveira +1
Real-world time series often exhibit a non-stationary nature, degrading the performance of pre-trained forecasting models. Test-Time Adaptation (TTA) addresses this by adjusting mo…
cs.LG2023
AdaFlood: Adaptive Flood Regularization
Wonho Bae, Yi Ren, Mohamad Osama Ahmed +3
Although neural networks are conventionally optimized towards zero training loss, it has been recently learned that targeting a non-zero training loss threshold, referred to as a f…
cs.LG2023
Meta Temporal Point Processes
Wonho Bae, Mohamed Osama Ahmed, Frederick Tung +1
A temporal point process (TPP) is a stochastic process where its realization is a sequence of discrete events in time. Recent work in TPPs model the process using a neural network…