AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 351 papers shown

Title
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 36 4 0 06 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 45 2 0 31 May 2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan Davide Zambrano Nergis Tomen Jan van Gemert 25 9 0 31 May 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul S. Scotti Atmadeep Banerjee J. Goode Stepan Shabalin A. Nguyen ... Nathalie Verlinde Elad Yundler David Weisberg K. A. Norman Tanishq Mathew Abraham DiffM 39 106 0 29 May 2023
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 19 43 0 24 May 2023
CLImage: Human-Annotated Datasets for Complementary-Label Learning Hsiu-Hsuan Wang Tan-Ha Mai Nai-Xuan Ye Weiliang Lin Hsuan-Tien Lin 36 1 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
Self-discipline on multiple channels Jiutian Zhao Liangchen Luo Hao Wang 32 0 0 27 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation H. Feng Zhaorui Yang He-Tuo Chen Tianyu Pang Chao Du Minfeng Zhu Wei Chen Shuicheng Yan CLL TTA 37 3 0 13 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
Vision Transformers with Mixed-Resolution Tokenization Tomer Ronen Omer Levy A. Golbert ViT 11 21 0 01 Apr 2023
InceptionNeXt: When Inception Meets ConvNeXt Weihao Yu Pan Zhou Shuicheng Yan Xinchao Wang 48 119 0 29 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 27 0 27 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 38 9 0 23 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 29 25 0 07 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 43 20 0 28 Feb 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 21 6 0 22 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 34 5 0 22 Feb 2023
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life Tim Whitaker L. D. Whitley CVBM 33 2 0 11 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 37 13 0 01 Feb 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 32 10 0 30 Jan 2023
CADA-GAN: Context-Aware GAN with Data Augmentation Sofie Daniels Jiugeng Sun Jiaqing Xie 28 0 0 21 Jan 2023
Efficient Activation Function Optimization through Surrogate Modeling G. Bingham Risto Miikkulainen 16 2 0 13 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 43 9 0 12 Jan 2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track Yilu Guo Xing-Jian Shi Weijie Chen Shicai Yang Di Xie Shiliang Pu Yueting Zhuang 3DGS 11 1 0 12 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 21 24 0 31 Dec 2022
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher Kei-Sing Ng Qingchen Wang VLM 21 1 0 27 Dec 2022
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning Huimin Wu Chenyang Lei Xiao Sun Pengju Wang Qifeng Chen Kwang-Ting Cheng Stephen Lin Zhirong Wu MQ 38 5 0 19 Dec 2022
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications Tara Pattilachan Ugur Demir Elif Keles Debesh Jha D. Klatte M. Engels S. Hoogenboom C. Bolan Michael B. Wallace Ulas Bagci MedIm 18 2 0 14 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 31 73 0 09 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 34 1 0 09 Dec 2022
Addressing Distribution Shift at Test Time in Pre-trained Language Models Ayush Singh J. Ortega VLM 27 4 0 05 Dec 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification Suorong Yang Jinqiao Li Jian Zhao S. Furao AAML 33 6 0 29 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization Kyung-Jin Lee Sungyeon Kim Suha Kwak FedML OOD 26 38 0 25 Nov 2022
Improving Crowded Object Detection via Copy-Paste Jiangfan Deng Dewen Fan Xiaosong Qiu Feng Zhou 22 12 0 22 Nov 2022
Teaching Structured Vision&Language Concepts to Vision&Language Models Sivan Doveh Assaf Arbelle Sivan Harary Yikang Shen Roei Herzig ... Donghyun Kim Raja Giryes Rogerio Feris S. Ullman Leonid Karlinsky VLM CoGe 56 70 0 21 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 39 1 0 21 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 25 129 0 19 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 35 60 0 17 Nov 2022
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization Chengpeng Chen Zichao Guo Haien Zeng Pengfei Xiong Jian Dong 26 37 0 11 Nov 2022
Masked Contrastive Representation Learning Yuan Yao Nandakishor Desai M. Palaniswami SSL 22 8 0 11 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 29 4 0 09 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 20 2 0 09 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Dinesh Manocha Dacheng Tao 38 13 0 02 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning Virat Shejwalkar Lingjuan Lyu Amir Houmansadr AAML 27 10 0 01 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
General Image Descriptors for Open World Image Retrieval using ViT CLIP Marcos V. Conde Ivan Aerlic Simon Jégou CLIP 34 2 0 20 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
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 26 35 0 12 Oct 2022