Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary
Time-Series

Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series

4 February 2022

Nathanael Yoder

Tomas Pfister

Papers citing "Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series"

5 / 5 papers shown

Title
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler Andreas Bühler Felix Wiewel Mario Döbler Binh Yang TTA OOD 43 82 0 30 Mar 2021
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan O. Arik Nicolas Loeff Tomas Pfister AI4TS 81 1,427 0 19 Dec 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 135 1,677 0 06 Jun 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 752 11,793 0 09 Mar 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 343 9,418 0 28 May 2015