DADA: Differentiable Automatic Data Augmentation

8 March 2020

Papers citing "DADA: Differentiable Automatic Data Augmentation"

11 / 61 papers shown

Title
Local Patch AutoAugment with Multi-Agent Collaboration Shiqi Lin Tao Yu Ruoyu Feng Xin Li Xin Jin Zhibo Chen 18 15 0 20 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 38 21 0 10 Mar 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou Jiawei Li Chuanlong Xie Fei Chen Lanqing Hong Rui Sun Zhenguo Li 26 29 0 22 Dec 2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels Jie Qin Jiemin Fang Qian Zhang Wenyu Liu Xingang Wang Xinggang Wang 22 82 0 21 Dec 2020
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 27 70 0 22 Oct 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Emergent Properties of Foveated Perceptual Systems Arturo Deza Talia Konkle 24 45 0 14 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Hypernetwork-Based Augmentation Chih-Yang Chen Che-Han Chang 17 3 0 11 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 90 1,935 0 11 Apr 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 20 1,423 0 02 Aug 2019