AutoDropout: Learning Dropout Patterns to Regularize Deep Networks

5 January 2021

Papers citing "AutoDropout: Learning Dropout Patterns to Regularize Deep Networks"

17 / 17 papers shown

Title
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 72 0 0 20 Dec 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 33 7 0 13 Oct 2023
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision Seongho Joe Byoungjip Kim Ho. Kang Kyoungwon Park Bogun Kim Jaeseon Park Joonseok Lee Youngjune Gwon SSL 23 1 0 19 Apr 2023
How to Use Dropout Correctly on Residual Networks with Batch Normalization Bum Jun Kim Hyeyeon Choi Hyeonah Jang Donggeon Lee Sang Woo Kim 22 7 0 13 Feb 2023
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang Jinghao Deng Xiaojun Quan Qifan Wang Shaoliang Nie 32 3 0 12 Oct 2022
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation Rahul Mishra Hari Prabhat Gupta 40 8 0 30 Sep 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 49 109 0 15 Jun 2022
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data Manar D. Samad Sakib Abrar 19 12 0 17 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
Evolving Neural Selection with Adaptive Regularization Li Ding Lee Spector ODL 22 4 0 04 Apr 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 27 211 0 10 Jan 2022
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications J. Rock Tiago Azevedo R. D. Jong Daniel Ruiz-Munoz Partha P. Maji UQCV 20 5 0 11 Nov 2021
SpliceOut: A Simple and Efficient Audio Augmentation Method Arjit Jain Pranay Reddy Samala Deepak Mittal P. Jyothi M. Singh 28 10 0 30 Sep 2021
R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang Lijun Wu Juntao Li Yue Wang Qi Meng Tao Qin Wei Chen M. Zhang Tie-Yan Liu 47 424 0 28 Jun 2021
Jitter: Random Jittering Loss Function Zhicheng Cai Chenglei Peng S. Du 21 3 0 25 Jun 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015