Learning to Compose Domain-Specific Transformations for Data Augmentation

6 September 2017

Alexander J. Ratner

Papers citing "Learning to Compose Domain-Specific Transformations for Data Augmentation"

50 / 57 papers shown

Title
Collinear datasets augmentation using Procrustes validation sets Sergey Kucheryavskiy Sergei Zhilin 22 0 0 08 Dec 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 54 2 0 31 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 42 10 0 25 May 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 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
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 37 9 0 09 Dec 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
Data-Efficient Augmentation for Training Neural Networks Tian Yu Liu Baharan Mirzasoleiman 26 7 0 15 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 51 8 0 07 Oct 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 42 1 0 03 Aug 2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation Junyan Lyu Yiqi Zhang Yijin Huang Li Lin Pujin Cheng Xiaoying Tang MedIm 16 46 0 27 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 37 3 0 25 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 38 398 0 03 May 2022
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images N. Shvetsov Morten Grønnesby Edvard Pedersen Kajsa Møllersen Lill-ToveRasmussen Busund Ruth Schwienbacher L. A. Bongo T. Kilvaer 27 14 0 14 Feb 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
ALLWAS: Active Learning on Language models in WASserstein space Anson Bastos Manohar Kaul MedIm 23 1 0 03 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 58 3,838 0 28 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 29 26 0 22 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 334 0 07 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 21 163 0 29 Jun 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 42 799 0 07 May 2021
Ensembling with Deep Generative Views Lucy Chai Jun-Yan Zhu Eli Shechtman Phillip Isola Richard Y. Zhang GAN 30 70 0 29 Apr 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
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation Lingyun Feng Minghui Qiu Yaliang Li Haitao Zheng Ying Shen 46 10 0 20 Jan 2021
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
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation Xiang Yue Shuang Zhou 17 10 0 11 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization Ekin Akyürek Afra Feyza Akyürek Jacob Andreas 24 79 0 08 Oct 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations M. Rey-Area Emilio Guirado Siham Tabik Javier Ruiz-Hidalgo 24 12 0 17 May 2020
Distilling Localization for Self-Supervised Representation Learning Nanxuan Zhao Zhirong Wu Rynson W. H. Lau Stephen Lin SSL 27 56 0 14 Apr 2020
Improving 3D Object Detection through Progressive Population Based Augmentation Shuyang Cheng Zhaoqi Leng E. D. Cubuk Barret Zoph Chunyan Bai ... Vijay Vasudevan Congcong Li Quoc V. Le Jonathon Shlens Dragomir Anguelov 3DPC 20 74 0 02 Apr 2020
Learning to Learn Single Domain Generalization Fengchun Qiao Long Zhao Xi Peng OOD 52 433 0 30 Mar 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 32 635 0 27 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 22 145 0 25 Feb 2020
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric Xing 29 116 0 28 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 96 3,416 0 30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Joey Tianyi Zhou 26 39 0 27 Sep 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 21 373 0 27 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Overton: A Data System for Monitoring and Improving Machine-Learned Products Christopher Ré Feng Niu Pallavi Gudipati Charles Srisuwananukorn AI4TS 13 46 0 07 Sep 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 39 523 0 26 Jun 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 8 107 0 26 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 26 123 0 23 Jun 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 30 230 0 21 Apr 2019
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 24 123 0 10 Sep 2018
Data Augmentation for Spoken Language Understanding via Joint Variational Generation Kang Min Yoo Youhyun Shin Sang-goo Lee 29 91 0 07 Sep 2018