Data augmentation instead of explicit regularization

11 June 2018

Alex Hernández-García

Papers citing "Data augmentation instead of explicit regularization"

50 / 65 papers shown

Title
Rapid analysis of point-contact Andreev reflection spectra via machine learning with adaptive data augmentation Dongik Lee V. Stanev Xiaohang Zhang Mijeong Kang Ichiro Takeuchi Seunghun Lee 57 0 0 13 Mar 2025
Elliptic Loss Regularization Ali Hasan Haoming Yang Yuting Ng Vahid Tarokh 68 1 0 04 Mar 2025
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction Steven Rogulsky Nicholas Popovic Michael Färber HILM 30 1 0 10 Oct 2024
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model Zongshuo Li Ding Huo M. Meurer Thomas Bergs 21 0 0 01 Jul 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 38 1 0 06 May 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 13 1 0 08 Feb 2024
Training Dynamics of Deep Network Linear Regions Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk 21 3 0 19 Oct 2023
AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy Nils Friederich Angelo Jovin Yamachui Sitcheu Oliver Neumann Süheyla Eroglu-Kayikçi Roshan Prizak Lennart Hilbert Ralf Mikut 21 2 0 05 Oct 2023
Data Cleaning and Machine Learning: A Systematic Literature Review Pierre-Olivier Coté Amin Nikanjam Nafisa Ahmed D. Humeniuk Foutse Khomh 25 20 0 03 Oct 2023
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation Madeline Navarro Santiago Segarra 19 1 0 14 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Tianyi Zhou 16 15 0 09 Sep 2023
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Jun Yu Bo Han Dadong Wang Tongliang Liu NoLa 11 4 0 11 Jul 2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States Kang-Jun Liu Ke Chen Lihua Guo Yaowei Wang K. Jia 27 0 0 30 May 2023
Towards Understanding How Data Augmentation Works with Imbalanced Data Damien Dablain Nitesh V. Chawla AI4CE 15 2 0 12 Apr 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 14 1 0 03 Mar 2023
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries Ahmed Imtiaz Humayun Randall Balestriero Guha Balakrishnan Richard Baraniuk 24 17 0 24 Feb 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 6 6 0 22 Feb 2023
Reinforcement Learning in System Identification J. Antonio Martin H Oscar Fernández Sergio Pérez Anas Belfadil C. Ibáñez-Llano Freddy José Perozo Javier Valle Javier Arechalde Pelaz 15 0 0 14 Dec 2022
PD-Quant: Post-Training Quantization based on Prediction Difference Metric Jiawei Liu Lin Niu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 88 67 0 14 Dec 2022
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets Javad Hassannataj Joloudari Sadiq Hussain M. Nematollahi Rouhollah Bagheri Fatemeh Fazl R. Alizadehsani Reza Lashgari Ashis Talukder 13 37 0 04 Nov 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 25 26 0 10 Oct 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 14 0 0 25 Jul 2022
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting Rui Wang Robin G. Walters Rose Yu 22 13 0 19 Jun 2022
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing OOD 11 15 0 04 Jun 2022
The Effects of Regularization and Data Augmentation are Class Dependent Randall Balestriero Léon Bottou Yann LeCun 28 94 0 07 Apr 2022
Multi-Sample $ζ$ -mixup: Richer, More Realistic Synthetic Samples from a $p$ -Series Interpolant Kumar Abhishek Colin J. Brown Ghassan Hamarneh 23 2 0 07 Apr 2022
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments Randall Balestriero Ishan Misra Yann LeCun 14 20 0 16 Feb 2022
Dataset Condensation with Contrastive Signals Saehyung Lee Sanghyuk Chun Sangwon Jung Sangdoo Yun Sung-Hoon Yoon DD 11 94 0 07 Feb 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Bo-wen Li 8 10 0 03 Feb 2022
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials A. Genç L. Kovarik H. Fraser 26 15 0 18 Jan 2022
Domain-Agnostic Clustering with Self-Distillation Mohammed Adnan Yani Andrew Ioannou Chuan-Yung Tsai Graham W. Taylor FedML SSL OOD 14 2 0 23 Nov 2021
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification Guang Liu Hailong Huang Yuzhao Mao Weiguo Gao Xuan Li Jianping Shen 20 1 0 24 Sep 2021
Augmenting the User-Item Graph with Textual Similarity Models F. López Martin Scholz Jessica Yung Marie Pellat Michael Strube Lucas Dixon 6 5 0 20 Sep 2021
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup Guang Liu Yuzhao Mao Hailong Huang Weiguo Gao Xuan Li AAML 28 5 0 15 Sep 2021
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification Eduardo Ulises Moya-Sánchez S. Xambó-Descamps Abraham Sánchez Pérez Sebastián Salazar-Colores Ulises Cortés 27 6 0 14 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 28 31 0 01 Sep 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 23 332 0 07 Jul 2021
Probing the Effect of Selection Bias on Generalization: A Thought Experiment John K. Tsotsos Jun-Jie Luo CML 19 2 0 20 May 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 24 796 0 07 May 2021
Fast Jacobian-Vector Product for Deep Networks Randall Balestriero Richard Baraniuk 15 4 0 01 Apr 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 18 45 0 30 Mar 2021
Fair Mixup: Fairness via Interpolation Ching-Yao Chuang Youssef Mroueh 16 137 0 11 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 31 108 0 08 Mar 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 Feb 2021
Data augmentation and image understanding Alex Hernandez-Garcia 16 6 0 28 Dec 2020
Rethinking supervised learning: insights from biological learning and from calling it by its name Alex Hernandez-Garcia SSL 19 0 0 04 Dec 2020
$Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations$ Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing 16 2 0 25 Nov 2020
Deep Active Learning with Augmentation-based Consistency Estimation SeulGi Hong Heonjin Ha Junmo Kim Min-Kook Choi 13 10 0 05 Nov 2020
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery Yu Shen Sijie Zhu Taojiannan Yang C. L. P. Chen 14 12 0 27 Oct 2020
Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell Cultivation Dominik Stallmann Jan Philip Göpfert Julian Schmitz A. Grünberger Barbara Hammer 34 6 0 20 Oct 2020