MAIN: Multihead-Attention Imputation Networks

Statistical analysis with missing data

Roderick JA Little and Donald B Rubin · 2014

Earlier work this paper cites.

Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015

Earlier work this paper cites.

Effective approaches to attention-based neural machine translation

Thang Luong, Hieu Pham, and Christopher D. Manning · 2015

Earlier work this paper cites.

Context encoders: Feature learning by inpainting

Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, and Alexei A. Efros · 2016

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017

Earlier work this paper cites.

Self-normalizing neural networks

Günter Klambauer, Thomas Unterthiner, Andreas Mayr, and Sepp Hochreiter · 2017

Earlier work this paper cites.

Feature-wise transformations

Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, and Yoshua Bengio · 2018

Cited alongside, same era.

Handling incomplete heterogeneous data using vaes

Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, and Isabel Valera · 2018

Cited alongside, same era.

Ambientgan: Generative models from lossy measurements

Ashish Bora, E. Price, and A. Dimakis · 2018

Cited alongside, same era.

Dropblock: A regularization method for convolutional networks

Golnaz Ghiasi, Tsung-Yi Lin, and Quoc V Le · 2018

Cited alongside, same era.

Gain: Missing data imputation using generative adversarial nets

Jinsung Yoon, James Jordon, and Mihaela van der Schaar · 2018

Cited alongside, same era.

Processing of missing data by neural networks

Marek Śmieja, Ł ukasz Struski, Jacek Tabor, Bartosz Zieliński, and Przemysł aw Spurek · 2018

Later among the works it cites.

Misgan: Learning from incomplete data with generative adversarial networks

Steven Cheng-Xian Li, Bo Jiang, and Benjamin M. Marlin · 2019

Later among the works it cites.

MIWAE: Deep generative modelling and imputation of incomplete data sets

Pierre-Alexandre Mattei and Jes Frellsen · 2019

Later among the works it cites.

Why not to use zero imputation? correcting sparsity bias in training neural networks

Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, and Eunho Yang · 2020

Later among the works it cites.

Attention-based learning for missing data imputation in holoclean

Richard Wu, Aoqian Zhang, Ihab Ilyas, and Theodoros Rekatsinas · 2020

Later among the works it cites.