Knockout: A simple way to handle missing inputs

Knockout: A simple way to handle missing inputs

30 May 2024

Minh Nguyen

Batuhan K. Karaman

Papers citing "Knockout: A simple way to handle missing inputs"

8 / 8 papers shown

Title
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing Minh Le Nguyen Mert R. Sabuncu 27 1 0 19 Sep 2024
Adapting to Shifting Correlations with Unlabeled Data Calibration Minh Le Nguyen Alan Q. Wang Heejong Kim Mert R. Sabuncu OOD 18 1 0 09 Sep 2024
When does Privileged Information Explain Away Label Noise? Guillermo Ortiz-Jiménez Mark Collier Anant Nawalgaria Alexander DÁmour Jesse Berent Rodolphe Jenatton E. Kokiopoulou NoLa 159 7 0 03 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 181 53 0 19 May 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,834 0 18 May 2015
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 165 4,220 0 04 May 2011