Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

14 May 2019

Pieter Abbeel

Papers citing "Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules"

50 / 76 papers shown

Title
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo Dingyang Chen Qi Zhang OffRL 26 0 0 16 Oct 2024
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts Hyunsu Kim Yegon Kim Hongseok Yang Juho Lee 42 1 0 05 Jul 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 109 22 0 15 May 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 70 5 0 13 Mar 2024
SGA: A Graph Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Shuyan Wan Sijie Wang Xianda Zheng Xinrui Zhang Kaiqi Zhao Jiamou Liu Dong Hao 16 1 0 15 Oct 2023
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 22 1 0 20 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 30 41 0 07 Apr 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 24 1 0 03 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised Learning Noah Barrett Zahra Sadeghi Stan Matwin 30 3 0 02 Mar 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 21 6 0 22 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 32 5 0 03 Feb 2023
RangeAugment: Efficient Online Augmentation with Range Learning Sachin Mehta Saeid Naderiparizi Fartash Faghri Maxwell Horton Lailin Chen Ali Farhadi Oncel Tuzel Mohammad Rastegari 26 6 0 20 Dec 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 29 4 0 09 Nov 2022
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation Rostyslav-Mykola Tsenov Christopher J. Henry J. Storie C. Storie Brent Murray Mikhail Sokolov 27 2 0 07 Nov 2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations Zhaoqi Leng Guowang Li Chenxi Liu E. D. Cubuk Pei Sun Tong He Drago Anguelov Mingxing Tan 3DPC 35 9 0 24 Oct 2022
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR Gary Wang Ekin D.Cubuk Andrew Rosenberg Shuyang Cheng Ron J. Weiss Bhuvana Ramabhadran Pedro J. Moreno Quoc V. Le Daniel S. Park 30 1 0 19 Oct 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang Han Yu Akane Sano AI4TS 27 5 0 13 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 45 113 0 24 Aug 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 28 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 26 39 0 14 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 34 3 0 25 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 27 398 0 03 May 2022
Deep AutoAugment Yu Zheng Z. Zhang Shen Yan Mi Zhang ViT 23 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
Practical Imitation Learning in the Real World via Task Consistency Loss Mohi Khansari Daniel Ho Yuqing Du Armando Fuentes Matthew Bennice Nicolas Sievers Sean Kirmani Yunfei Bai Eric Jang SSL 22 8 0 03 Feb 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 30 211 0 10 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
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification Yuan Xue Jiarong Ye Qianying Zhou L. R. Long Sameer Kiran Antani Z. Xue Carl Cornwell R. Zaino K. Cheng Xiaolei Huang MedIm 191 102 0 10 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 17 13 0 31 Oct 2021
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 24 5 0 30 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 59 10 0 13 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
Influence-guided Data Augmentation for Neural Tensor Completion Sejoon Oh Sungchul Kim Ryan A. Rossi Srijan Kumar 28 10 0 23 Aug 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 Mańdziuk 23 61 0 21 Jul 2021
Fine-Grained AutoAugmentation for Multi-Label Classification Y. Wang Hesen Chen Fangyi Zhang Yaohua Wang Xiuyu Sun Ming Lin Hao Li 26 2 0 12 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 19 163 0 29 Jun 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 30 33 0 09 Apr 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang Chong Chen ObjD 22 50 0 18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 24 274 0 18 Mar 2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation Elizabeth Fons Paula Dawson Xiao-Jun Zeng J. Keane Alexandros Iosifidis AI4TS 23 23 0 16 Feb 2021
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification Shuwei Shen Mengjuan Xu Fan Zhang Pengfei Shao Honghong Liu ... Chi Zhang Peng Liu Zhihong Zhang Peng Yao Ronald X. Xu 22 10 0 07 Jan 2021
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation Hongxiao Wang Hao Zheng Jianxu Chen Lin Yang Yizhe Zhang Danny Chen MedIm 28 4 0 17 Dec 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs Nikhil Kapoor C. Yuan Jonas Löhdefink Roland S. Zimmermann Serin Varghese Fabian Hüger Nico M. Schmidt Peter Schlicht Tim Fingscheidt AAML 27 4 0 02 Dec 2020
An Algorithm for Learning Smaller Representations of Models With Scarce Data Adrian de Wynter 46 2 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020