A Bayesian Data Augmentation Approach for Learning Deep Models

29 October 2017

Papers citing "A Bayesian Data Augmentation Approach for Learning Deep Models"

33 / 33 papers shown

Title
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis Onkar Susladkar Gayatri S Deshmukh Yalcin Tur Ulas Bagci MedIm 53 0 0 08 May 2025
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 42 2 0 31 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation D. Krishnamoorthy 16 4 0 09 Mar 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 28 40 0 17 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 27 231 0 07 Feb 2023
Data Augmentation for Modeling Human Personality: The Dexter Machine Yair Neuman Vladyslav Kozhukhov Dan Vilenchik SyDa 19 4 0 20 Jan 2023
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 21 4 0 09 Nov 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
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
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen Yong Zhang Yibing Song Lingqiao Liu Jue Wang AAML 33 196 0 23 Mar 2022
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation Duo Peng Yinjie Lei Lingqiao Liu Pingping Zhang Jun Liu 22 73 0 05 Aug 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
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition Junxiao Shen John J. Dudley Per Ola Kristensson SLR GAN 30 23 0 27 May 2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks Jian Chen Xuxin Zhang Rui Zhang Chen Wang Ling Liu AAML 17 86 0 08 May 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 12 19 0 16 Mar 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 34 6 0 26 Feb 2021
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors Richard Li Eric Whitmire Michael Stengel Ben Boudaoud Jan Kautz D. Luebke Shwetak N. Patel K. Akşit 23 19 0 15 Sep 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 16 18 0 17 Jun 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
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 21 386 0 23 Jan 2020
Effective Data Augmentation with Multi-Domain Learning GANs Shinýa Yamaguchi Sekitoshi Kanai Takeharu Eda 19 27 0 25 Dec 2019
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Andrew Zhang Zhaobai Zhong AAML 28 196 0 24 Dec 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric P. Xing 19 116 0 28 Oct 2019
Augmented Hard Example Mining for Generalizable Person Re-Identification Masato Tamura Tomokazu Murakami 19 22 0 11 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 60 3,411 0 30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Mohit Bansal 21 39 0 27 Sep 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens Quoc V. Le 30 523 0 26 Jun 2019
Bayesian Generative Active Deep Learning Toan M. Tran Thanh-Toan Do Ian Reid G. Carneiro 15 134 0 26 Apr 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 25 72 0 27 Jan 2019
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 18 123 0 10 Sep 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016