Faster AutoAugment: Learning Augmentation Strategies using Backpropagation

16 November 2019

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

35 / 35 papers shown

Title
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 118 0 0 18 Feb 2024
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 104 28 0 10 Jun 2022
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 565 42,639 0 03 Dec 2019
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch F. Mokhayeri Dmytro Mishkin Daniel Ponsa Ethan Rublee Gary R. Bradski VLM AI4TS 157 355 0 05 Oct 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 80 404 0 14 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 624 4,809 0 13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 162 3,033 0 06 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 103 599 0 01 May 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 68 29 0 28 Mar 2019
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 206 4,375 0 24 Jun 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 122 786 0 30 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 135 1,775 0 24 May 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 185 3,039 0 05 Feb 2018
Data Augmentation by Pairing Samples for Images Classification H. Inoue 176 422 0 09 Jan 2018
Between-class Learning for Image Classification Yuji Tokozume Yoshitaka Ushiku Tatsuya Harada SSL 71 205 0 28 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 147 1,074 0 12 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 238 5,079 0 02 Nov 2017
A Bayesian Data Augmentation Approach for Learning Deep Models Toan M. Tran Trung T. Pham G. Carneiro L. Palmer Ian Reid 70 233 0 29 Oct 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,811 0 25 Oct 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 77 350 0 06 Sep 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 110 3,649 0 16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 137 3,775 0 15 Aug 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,564 0 31 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,952 0 09 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 179 4,829 0 26 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 109 1,802 0 22 Dec 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 484 5,385 0 05 Nov 2016
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 232 176 0 04 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,390 0 03 Nov 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 356 8,002 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 236 946 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,615 0 01 Sep 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 398 3,157 0 15 Aug 2013