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Towards Out-of-Distribution Sequential Event Prediction: A Causal
  Treatment

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment

24 October 2022
Chenxiao Yang
Qitian Wu
Qingsong Wen
Zhiqiang Zhou
Liang Sun
Junchi Yan
    OODD
    OOD
ArXivPDFHTML

Papers citing "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment"

9 / 9 papers shown
Title
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction
  under Distribution Shifts
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts
Haiyang Jiang
Tong Chen
W. Zhang
Nguyen Quoc Viet Hung
Yuan Yuan
Yong Li
Lizhen Cui
OOD
AI4TS
80
1
0
07 Dec 2024
Robust Traffic Forecasting against Spatial Shift over Years
Robust Traffic Forecasting against Spatial Shift over Years
Hongjun Wang
Jiyuan Chen
Tong Pan
Zheng Dong
Lingyu Zhang
Renhe Jiang
Xuan Song
AI4TS
OOD
28
0
0
01 Oct 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Chu Zhao
Enneng Yang
Yuliang Liang
Pengxiang Lan
Yuting Liu
Jianzhe Zhao
Guibing Guo
Xingwei Wang
OOD
DiffM
CML
48
5
0
01 Aug 2024
Learning Divergence Fields for Shift-Robust Graph Representations
Learning Divergence Fields for Shift-Robust Graph Representations
Qitian Wu
Fan Nie
Chenxiao Yang
Junchi Yan
OOD
41
1
0
07 Jun 2024
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and
  Treatment
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia
Y. Liang
Haomin Wen
Xu Liu
Kun Wang
Zhengyang Zhou
Roger Zimmermann
AI4TS
32
36
0
23 Sep 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Qitian Wu
Yiting Chen
Chenxiao Yang
Junchi Yan
OODD
14
56
0
06 Feb 2023
Unleashing the Power of Graph Data Augmentation on Covariate
  Distribution Shift
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
Yongduo Sui
Qitian Wu
Jiancan Wu
Qing Cui
Longfei Li
An Zhang
Xiang Wang
Xiangnan He
OOD
17
31
0
05 Nov 2022
Automated Detection and Forecasting of COVID-19 using Deep Learning
  Techniques: A Review
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
33
176
0
16 Jul 2020
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
786
0
19 Feb 2009
1