Contextual Dropout: An Efficient Sample-Dependent Dropout Module

Contextual Dropout: An Efficient Sample-Dependent Dropout Module

6 March 2021

Xinjie Fan

Korawat Tanwisuth

Mingyuan Zhou

Papers citing "Contextual Dropout: An Efficient Sample-Dependent Dropout Module"

8 / 8 papers shown

Title
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models Shujian Zhang Chengyue Gong Xingchao Liu RALM 37 6 0 02 Nov 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 38 108 0 15 Jun 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 25 26 0 10 May 2022
Adversarially Adaptive Normalization for Single Domain Generalization Xinjie Fan Qifei Wang Junjie Ke Feng Yang Boqing Gong Mingyuan Zhou 16 129 0 01 Jun 2021
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 107 59 0 20 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 251 7,633 0 03 Jul 2012