AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 256 papers shown

Title
Adaptive Contextual Embedding for Robust Far-View Borehole Detection Xuesong Liu Tianyu Hao Emmett J. Ientilucci 41 0 0 08 May 2025
Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation Lingrui Zhang Liang Guo Xiao An Feng Lin Binlong Zheng J. Wang Z. Li 41 0 0 28 Apr 2025
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation Yaxiong Chen Yujie Wang Zixuan Zheng Jingliang Hu Yilei Shi Shengwu Xiong Xiao Xiang Zhu Lichao Mou 52 1 0 18 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Bo Du FedML 66 1 0 12 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data Shanshan Yan Zexi Li Chao-Xiang Wu Meng Pang Yang Lu Yan Yan Hanzi Wang FedML 61 0 0 10 Mar 2025
Single Domain Generalization with Adversarial Memory Hao Yan Marzi Heidari Yuhong Guo 88 0 0 08 Mar 2025
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Yimu Pan Sitao Zhang Alison D. Gernand Jeffery A. Goldstein J. Z. Wang 72 1 0 17 Dec 2024
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 146 1 0 14 Dec 2024
Data-efficient Tactile Sensing with Electrical Impedance Tomography Huazhi Dong Ronald B. Liu Leo Micklem Peisan Sharel E F. G. Serchi Yunjie Yang 57 1 0 19 Nov 2024
Locality Alignment Improves Vision-Language Models Ian Covert Tony Sun James Y. Zou Tatsunori Hashimoto VLM 64 3 0 14 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 34 3 0 08 Oct 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 26 3 0 26 Sep 2024
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models Jun-Yeong Moon Jung Uk Kim Gyeong-Moon Park DD 33 1 0 22 Sep 2024
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification Mridula Vijendran Frederick W. B. Li Jingjing Deng Hubert P. H. Shum 48 0 0 03 Aug 2024
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets Tianxiao Zhang Wenju Xu Bo Luo Guanghui Wang ViT MDE 36 7 0 28 Jul 2024
Deep Companion Learning: Enhancing Generalization Through Historical Consistency Ruizhao Zhu Venkatesh Saligrama FedML 21 0 0 26 Jul 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 36 0 0 24 Jun 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency Weide Liu Jingwen Hou Xiaoyang Zhong Huijing Zhan Jun Cheng Yuming Fang Guanghui Yue 18 0 0 14 Jun 2024
Data Augmentation in Earth Observation: A Diffusion Model Approach Tiago Sousa B. Ries N. Guelfi DiffM 40 2 0 10 Jun 2024
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network Runhua Jiang Guodong Du Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang 39 3 0 04 Jun 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 43 4 0 07 May 2024
Policy Gradient-Driven Noise Mask Mehmet Can Yavuz Yang Yang 22 1 0 29 Apr 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng Xiaoyong Chen Jiaming Liang Huisi Wu Guangzhong Cao Yong Guo AAML 32 3 0 29 Mar 2024
Data Augmentation in Human-Centric Vision Wentao Jiang Yige Zhang Shaozhong Zheng Si Liu Shuicheng Yan 36 1 0 13 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 60 4 0 13 Mar 2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation Jun Wang Yuzhe Qin Kaiming Kuang Yigit Korkmaz Akhilan Gurumoorthy Hao Su Xiaolong Wang 36 19 0 22 Feb 2024
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 44 0 0 18 Feb 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks Tim Whitaker Darrell Whitley 25 0 0 16 Jan 2024
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 24 1 0 25 Dec 2023
Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation Jingxuan He Lechao Cheng Chaowei Fang Zunlei Feng Tingting Mu Min-Gyoo Song 13 7 0 14 Dec 2023
PolyMaX: General Dense Prediction with Mask Transformer Xuan S. Yang Liangzhe Yuan Kimberly Wilber Astuti Sharma Xiuye Gu ... Stephanie Debats Huisheng Wang Hartwig Adam Mikhail Sirotenko Liang-Chieh Chen 26 14 0 09 Nov 2023
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation Shashank Kotyan Danilo Vasconcellos Vargas ViT 22 2 0 01 Nov 2023
Semi-supervised multimodal coreference resolution in image narrations A. Goel Basura Fernando Frank Keller Hakan Bilen 24 3 0 20 Oct 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 17 7 0 13 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 37 59 0 29 Sep 2023
CoNe: Contrast Your Neighbours for Supervised Image Classification Mingkai Zheng Shan You Lang Huang Xiu Su Fei Wang Chao Qian Xiaogang Wang Chang Xu VLM 20 0 0 21 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks Muhammad Ahmed Shah Bhiksha Raj AAML 25 3 0 01 Aug 2023
Conformal prediction under ambiguous ground truth David Stutz Abhijit Guha Roy Tatiana Matejovicova Patricia Strachan A. Cemgil Arnaud Doucet 29 15 0 18 Jul 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Yu-Zhu Guo Y. Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma AAML 37 3 0 10 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 32 0 0 01 Jul 2023
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 31 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 23 2 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 32 106 0 29 May 2023
CLImage: Human-Annotated Datasets for Complementary-Label Learning Hsiu-Hsuan Wang Tan-Ha Mai Nai-Xuan Ye Weiliang Lin Hsuan-Tien Lin 18 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 21 1 0 04 May 2023
Self-discipline on multiple channels Jiutian Zhao Liangchen Luo Hao Wang 19 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-Neng Chen Shuicheng Yan CLL TTA 29 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 24 39 0 07 Apr 2023
InceptionNeXt: When Inception Meets ConvNeXt Weihao Yu Pan Zhou Shuicheng Yan Xinchao Wang 36 117 0 29 Mar 2023