Gradient Adversarial Training of Neural Networks

Gradient Adversarial Training of Neural Networks

21 June 2018

Vijay Badrinarayanan

Andrew Rabinovich

Papers citing "Gradient Adversarial Training of Neural Networks"

11 / 11 papers shown

Title
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework Zong Fan Ping Gong Shanshan Tang Christine U. Lee Xiaohui Zhang P. Song Shigao Chen Hua Li 13 2 0 11 Oct 2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation Rihan Chen Bin Liu Han Zhu Yao Wang Qi Li ... Q. hua Junliang Jiang Yunlong Xu Hongbo Deng Bo Zheng 29 20 0 14 Feb 2022
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral Lucio Dery Yann N. Dauphin David Grangier MoMe 8 29 0 25 Aug 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 21 85 0 03 Mar 2021
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen Jiquan Ngiam Yanping Huang Thang Luong Henrik Kretzschmar Yuning Chai Dragomir Anguelov 35 206 0 14 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 27 608 0 10 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 25 73 0 07 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 22 72 0 24 Jul 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 23 31 0 17 Jun 2020
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 72 243 0 18 Apr 2019
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 38 226 0 18 Jul 2018