AdaRNN: Adaptive Learning and Forecasting of Time Series

10 August 2021

Papers citing "AdaRNN: Adaptive Learning and Forecasting of Time Series"

33 / 83 papers shown

Title
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey Liping Wang Jiawei Li Lifan Zhao Zhizhuo Kou Xiaohan Wang Xinyi Zhu Hao Wang Yanyan Shen Lei Chen AIFin 21 8 0 09 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 20 15 0 04 Aug 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 20 0 0 30 Jun 2023
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection Beizhe Hu Qiang Sheng Juan Cao Yongchun Zhu Danding Wang Zhengjia Wang Zhiwei Jin 24 22 0 26 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 114 102 0 16 Jun 2023
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting Lifan Zhao Shuming Kong Yanyan Shen AIFin 26 22 0 16 Jun 2023
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets Lili Wang Chenghan Huang Chongyang Gao Weicheng Ma Soroush Vosoughi AIFin 22 1 0 01 Jun 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 34 2 0 23 May 2023
Domain Generalization Deep Graph Transformation Shiyu Wang Guangji Bai Qi Zhu Zhaohui Qin Liang Zhao OOD 47 1 0 19 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Z. Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 31 50 0 18 May 2023
Mlinear: Rethink the Linear Model for Time-series Forecasting Wei Li Xiangxu Meng Chuhao Chen Jianing Chen AI4TS 18 6 0 08 May 2023
Context-aware Domain Adaptation for Time Series Anomaly Detection Kwei-Herng Lai Lan Wang Huiyuan Chen Kaixiong Zhou Fei Wang Hao Yang Xia Hu TTA AI4TS 34 8 0 15 Apr 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 85 181 0 25 Mar 2023
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach Yunjie Huang Xiaozhuang Song Yuanshao Zhu Shiyao Zhang James J. Q. Yu AI4TS 33 11 0 13 Mar 2023
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks J. Shen Dongwon Lee 12 0 0 24 Feb 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 31 2 0 23 Feb 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Wei Fan Pengyang Wang Dongkun Wang Dongjie Wang Yuanchun Zhou Yanjie Fu AI4TS 30 75 0 22 Feb 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 35 18 0 06 Feb 2023
Time Series Forecasting with Hypernetworks Generating Parameters in Advance Jaehoon Lee C. Kim Gyumin Lee Haksoo Lim Jeongwhan Choi Kookjin Lee Dongeun Lee Sanghyun Hong Noseong Park OOD AI4TS 19 3 0 22 Nov 2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift Defu Cao Yousef El-Laham Loc Trinh Svitlana Vyetrenko Y. Liu 26 11 0 17 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 36 38 0 04 Nov 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data Cristian Challu Peihong Jiang Y. Wu Laurent Callot AI4TS 19 1 0 22 Oct 2022
Out-of-Distribution Representation Learning for Time Series Classification Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xingxu Xie OODD OOD 27 34 0 15 Sep 2022
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting Hui He Qi Zhang Kun Yi Kaize Shi ZhenDong Niu Longbin Cao TTA AI4TS 19 4 0 01 Sep 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification Yidong Wang Hao Chen Yue Fan Wangbin Sun R. Tao ... T. Shinozaki Bernt Schiele Jindong Wang Xingxu Xie Yue Zhang 19 113 0 12 Aug 2022
Domain-invariant Feature Exploration for Domain Generalization Wang Lu Jindong Wang Haoliang Li Yiqiang Chen Xing Xie OOD 30 69 0 25 Jul 2022
Ensemble2: Anomaly Detection via EVT-Ensemble Framework for Seasonal KPIs in Communication Network Shi Wang 8 1 0 28 May 2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer Bin Lu Xiaoying Gan Weinan Zhang Huaxiu Yao Luoyi Fu Xinbing Wang AI4TS 29 69 0 27 May 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 67 87 0 21 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 26 29 0 18 Mar 2022
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks Wenying Duan Xiaoxi He Lu Zhou Lothar Thiele Hong Rao TTA AI4TS 24 10 0 22 Feb 2022
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,170 0 02 Mar 2021
Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang Tim Oates AI4TS 39 667 0 01 Jun 2015