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1906.00150
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Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks
1 June 2019
Joonyoung Yi
Juhyuk Lee
Kwang Joon Kim
Sung Ju Hwang
Eunho Yang
VLM
Re-assign community
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Papers citing
"Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks"
5 / 5 papers shown
Title
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction
Zhanwen Liu
Chao Li
Nan Yang
Yang Wang
Jiaqi Ma
Guangliang Cheng
Xiangmo Zhao
33
2
0
08 Jul 2024
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer
M. Morvan
N. Nikolaou
K. H. Yip
Ingo P. Waldmann
AI4TS
104
9
0
06 Jul 2022
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Liang Peng
Nan Wang
Nicha Dvornek
Xiaofeng Zhu
Xiaoxiao Li
FedML
AI4CE
15
70
0
19 Dec 2021
Generative Imputation and Stochastic Prediction
Mohammad Kachuee
Kimmo Karkkainen
Orpaz Goldstein
Sajad Darabi
Majid Sarrafzadeh
16
23
0
22 May 2019
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
213
1,897
0
06 Jun 2016
1