Faster AutoAugment: Learning Augmentation Strategies using Backpropagation

16 November 2019

Papers citing "Faster AutoAugment: Learning Augmentation Strategies using Backpropagation"

34 / 34 papers shown

Title
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 28 5 0 10 Jul 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series Tien-Yu Chang Hao Dai Vincent S. Tseng AI4TS 31 0 0 01 Apr 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 65 5 0 13 Mar 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training Huayi Zhou Mukun Luo Fei Jiang Yue Ding Hongtao Lu Kui Jia 46 0 0 18 Feb 2024
Understanding Test-Time Augmentation Masanari Kimura ViT 16 29 0 10 Feb 2024
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 14 1 0 20 Apr 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 31 30 0 10 Feb 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 35 5 0 09 Dec 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin J. Hopcroft 21 2 0 15 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 15 2 0 09 Nov 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture Jianwei Zhang Dong Li Lituan Wang Lei Zhang 20 2 0 21 Jul 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 23 39 0 14 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 32 27 0 10 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 32 3 0 25 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 24 396 0 03 May 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 2022
Deep AutoAugment Yu Zheng Z. Zhang Shen Yan Mi Zhang ViT 21 26 0 11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 21 48 0 25 Feb 2022
Deep invariant networks with differentiable augmentation layers Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 27 8 0 04 Feb 2022
Adversarial Masking for Self-Supervised Learning Yuge Shi N. Siddharth Philip H. S. Torr Adam R. Kosiorek SSL 56 82 0 31 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 19 67 0 04 Jan 2022
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 24 5 0 30 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 38 31 0 01 Sep 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 39 16 0 23 Jul 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mañdziuk 23 60 0 21 Jul 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 25 32 0 09 Apr 2021
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 24 62 0 25 Mar 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,419 0 02 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 158 175 0 04 Nov 2016