WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series

18 March 2022

Jean-Christophe Gagnon-Audet

Kartik Ahuja

Mohammad Javad Darvishi Bayazi

Papers citing "WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series"

22 / 22 papers shown

Title
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 43 1 0 31 Jul 2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data Byeong Tak Lee Joon-Myoung Kwon Yong-Yeon Jo TTA 36 0 0 21 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 87 0 0 16 Jul 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 38 5 0 06 Apr 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang Xin Wang Ziwei Zhang Zhou Qin Weigao Wen Hui Xue Haoyang Li Wenwu Zhu OOD 37 17 0 08 Mar 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations Binghui Xie Yongqiang Chen Jiaqi Wang Kaiwen Zhou Bo Han Wei Meng James Cheng 41 5 0 16 Jan 2024
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 17 4 0 04 Dec 2023
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction Zeyang Zhang Xingwang Li Fei Teng Ning Lin Xueling Zhu Xin Wang Wenwu Zhu OOD 37 11 0 27 Nov 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 30 16 0 18 Nov 2023
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization Mateo Dulce Rubio Siqi Zeng Qi Wang Didier Alvarado Francisco Moreno Hoda Heidari Fei Fang 32 2 0 06 Nov 2023
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series Arjun Ashok Étienne Marcotte Valentina Zantedeschi Nicolas Chapados Alexandre Drouin AI4TS 26 11 0 02 Oct 2023
Context is Environment Sharut Gupta Stefanie Jegelka David Lopez-Paz Kartik Ahuja 35 0 0 18 Sep 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 92 1 0 17 Jul 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 37 2 0 23 May 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani E. Hossain OOD AI4CE 34 26 0 13 Mar 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 41 39 0 01 Feb 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 44 79 0 15 Nov 2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu Han Zhang Yasaman S. Sefidgar Yiyi Ren Xin Liu ... Tim Althoff Margaret E. Morris E. Riskin Jennifer Mankoff A. Dey 41 38 0 04 Nov 2022
Self-Supervised Transformers for fMRI representation Itzik Malkiel Gony Rosenman Lior Wolf Talma Hendler ViT MedIm 34 18 0 10 Dec 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 202 0 28 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 258 4,489 0 23 Jan 2020