RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

50 / 2,006 papers shown

Title
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 29 4 0 09 Nov 2022
REDS: Random Ensemble Deep Spatial prediction Ranadeep Daw C. Wikle 28 10 0 09 Nov 2022
Distributional Shift Adaptation using Domain-Specific Features Anique Tahir Lu Cheng Ruocheng Guo Huan Liu VLM TTA OOD OODD 34 2 0 09 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 36 11 0 09 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 23 2 0 09 Nov 2022
MogaNet: Multi-order Gated Aggregation Network Siyuan Li Zedong Wang Zicheng Liu Cheng Tan Haitao Lin Di Wu Zhiyuan Chen Jiangbin Zheng Stan Z. Li 31 55 0 07 Nov 2022
Large Scale Radio Frequency Wideband Signal Detection & Recognition Luke Boegner Garrett M. Vanhoy Phillip Vallance Manbir Gulati Dresden Feitzinger B. Comar Rob Miller AI4TS 18 6 0 04 Nov 2022
Neural Active Learning on Heteroskedastic Distributions Savya Khosla Chew Kin Whye Jordan T. Ash Cyril Zhang Kenji Kawaguchi Alex Lamb 33 2 0 02 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 43 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 32 10 0 01 Nov 2022
Training Vision-Language Models with Less Bimodal Supervision Elad Segal Ben Bogin Jonathan Berant VLM 21 2 0 01 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements A. Ma Nikita Dvornik Ran Zhang Leila Pishdad Konstantinos G. Derpanis Afsaneh Fazly 36 6 0 31 Oct 2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations Shlok Kumar Mishra Joshua Robinson Huiwen Chang David Jacobs Aaron Sarna Aaron Maschinot Dilip Krishnan DiffM 56 30 0 30 Oct 2022
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation Bowen Ma Rudong An Wei Zhang Yu-qiong Ding Zeng Zhao Rongsheng Zhang Tangjie Lv Changjie Fan Zhipeng Hu CVBM 62 19 0 28 Oct 2022
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs Ruijie Tao Kong Aik Lee Rohan Kumar Das Ville Hautamaki Haizhou Li SSL 29 10 0 27 Oct 2022
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 78 59 0 27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 40 4 0 27 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional Transformation Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 45 13 0 26 Oct 2022
tf.data service: A Case for Disaggregating ML Input Data Processing Andrew Audibert Yangrui Chen D. Graur Ana Klimovic Jiří Šimša C. A. Thekkath 50 16 0 26 Oct 2022
The Curious Case of Benign Memorization Sotiris Anagnostidis Gregor Bachmann Lorenzo Noci Thomas Hofmann AAML 54 8 0 25 Oct 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 41 9 0 24 Oct 2022
MetaFormer Baselines for Vision Weihao Yu Chenyang Si Pan Zhou Mi Luo Yichen Zhou Jiashi Feng Shuicheng Yan Xinchao Wang MoE 40 158 0 24 Oct 2022
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds Zhaoqi Leng Shuyang Cheng Benjamin Caine Weiyue Wang Xiao Zhang Jonathon Shlens Mingxing Tan Drago Anguelov 3DPC 39 14 0 24 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets Xiangyu Chen Qinghao Hu Kaidong Li Cuncong Zhong Guanghui Wang ViT 40 11 0 22 Oct 2022
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling Dongsheng Chen Chaofan Tao Lu Hou Lifeng Shang Xin Jiang Qun Liu VLM 29 18 0 21 Oct 2022
Twin Contrastive Learning for Online Clustering Yunfan Li Mouxing Yang Dezhong Peng Taihao Li Jian-Tao Huang Xiaocui Peng 33 107 0 21 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 53 11 0 20 Oct 2022
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation Zefan Yang Di Lin Dong Ni Yi Wang 15 12 0 20 Oct 2022
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks Miquel Martí i Rabadán Alessandro Pieropan Hossein Azizpour A. Maki 21 3 0 18 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation Olivier Laurent Adrien Lafage Enzo Tartaglione Geoffrey Daniel Jean-Marc Martinez Andrei Bursuc Gianni Franchi OODD 46 32 0 17 Oct 2022
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels Brandon Smart G. Carneiro NoLa 26 11 0 17 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 36 1 0 16 Oct 2022
Data-Efficient Augmentation for Training Neural Networks Tian Yu Liu Baharan Mirzasoleiman 32 7 0 15 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 45 52 0 14 Oct 2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning Han Yu Huiyuan Yang Akane Sano AI4TS 35 5 0 13 Oct 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms Thomas C. P. Chau L. Dudziak Hongkai Wen Nicholas D. Lane Mohamed S. Abdelfattah 30 13 0 13 Oct 2022
How to Train Vision Transformer on Small-scale Datasets? Hanan Gani Muzammal Naseer Mohammad Yaqub ViT 20 51 0 13 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yifang Sun Wei Wang OODD 29 5 0 13 Oct 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang Han Yu Akane Sano AI4TS 27 5 0 13 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 36 47 0 13 Oct 2022
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces Eric N. D. Nguyen Karan Goel Albert Gu Gordon W. Downs Preey Shah Tri Dao S. Baccus Christopher Ré VLM 22 39 0 12 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 31 35 0 12 Oct 2022
Masked Motion Encoding for Self-Supervised Video Representation Learning Xinyu Sun Peihao Chen Liang-Chieh Chen Chan Li Thomas H. Li Mingkui Tan Chuang Gan 32 29 0 12 Oct 2022
C-Mixup: Improving Generalization in Regression Huaxiu Yao Yiping Wang Linjun Zhang James Zou Chelsea Finn UQCV OOD 41 58 0 11 Oct 2022
It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training Yuxin Song Min Yang Wenhao Wu Dongliang He Fu Li Jingdong Wang ViT 103 8 0 11 Oct 2022
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-xiong Wang Deva Ramanan Shu Kong CLL 44 9 0 10 Oct 2022
Turbo Training with Token Dropout Tengda Han Weidi Xie Andrew Zisserman ViT 39 10 0 10 Oct 2022
Revisiting adapters with adversarial training Sylvestre-Alvise Rebuffi Francesco Croce Sven Gowal AAML 36 16 0 10 Oct 2022
On the Importance of Calibration in Semi-supervised Learning Charlotte Loh Rumen Dangovski Shivchander Sudalairaj Seung-Jun Han Ligong Han Leonid Karlinsky Marin Soljacic Akash Srivastava 27 6 0 10 Oct 2022