Direct Differentiable Augmentation Search

9 April 2021

Papers citing "Direct Differentiable Augmentation Search"

21 / 21 papers shown

Title
FreeAugment: Data Augmentation Search Across All Degrees of Freedom Tom Bekor Niv Nayman Lihi Zelnik-Manor ViT 44 0 0 07 Sep 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 34 14 0 23 May 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 38 47 0 18 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 60 5 0 13 Mar 2024
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization Juliette Marrie Michael Arbel Diane Larlus Julien Mairal OffRL 36 4 0 16 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 30 4 0 12 Jun 2023
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study Muzhou Yu Linfeng Zhang Kaisheng Ma 21 2 0 22 May 2023
No Free Lunch in Self Supervised Representation Learning Ihab Bendidi Adrien Bardes E. Cohen Alexis Lamiable Guillaume Bollot Auguste Genovesio OOD 49 11 0 23 Apr 2023
RangeAugment: Efficient Online Augmentation with Range Learning Sachin Mehta Saeid Naderiparizi Fartash Faghri Maxwell Horton Lailin Chen Ali Farhadi Oncel Tuzel Mohammad Rastegari 21 6 0 20 Dec 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 18 1 0 16 Oct 2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning Han Yu Huiyuan Yang Akane Sano AI4TS 22 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 19 5 0 13 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 20 10 0 29 Sep 2022
Optimizing transformations for contrastive learning in a differentiable framework Camille Ruppli Pietro Gori R. Ardon Isabelle Bloch MedIm 20 2 0 27 Jul 2022
Universal Adaptive Data Augmentation Xiaogang Xu Hengshuang Zhao 14 5 0 14 Jul 2022
Deep AutoAugment Yu Zheng Z. Zhang Shen Yan Mi Zhang ViT 13 26 0 11 Mar 2022
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks Arnaud Deleruyelle J. Klein Cristian Versari OOD 16 0 0 07 Feb 2022
DIVA: Dataset Derivative of a Learning Task Yonatan Dukler Alessandro Achille Giovanni Paolini Avinash Ravichandran M. Polito Stefano Soatto 14 5 0 18 Nov 2021
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 24 5 0 30 Sep 2021
Local Patch AutoAugment with Multi-Agent Collaboration Shiqi Lin Tao Yu Ruoyu Feng Xin Li Xin Jin Zhibo Chen 11 15 0 20 Mar 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016