Sample Efficiency of Data Augmentation Consistency Regularization

Sample Efficiency of Data Augmentation Consistency Regularization

24 February 2022

Inderjit S. Dhillon

Sujay Sanghavi

Papers citing "Sample Efficiency of Data Augmentation Consistency Regularization"

17 / 17 papers shown

Title
Elliptic Loss Regularization Ali Hasan Haoming Yang Yuting Ng Vahid Tarokh 76 1 0 04 Mar 2025
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment Indrajeet Ghosh Garvit Chugh A. Faridee Nirmalya Roy 21 0 0 23 Oct 2024
Bridging Domains with Approximately Shared Features Ziliang Samuel Zhong Xiang Pan Qi Lei OOD 31 1 0 11 Mar 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness Hoang Phan Andrew Gordon Wilson Qi Lei 45 5 0 05 Mar 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 30 0 0 10 Feb 2024
Understanding Data Augmentation from a Robustness Perspective Zhendong Liu Jie Zhang Qiangqiang He Chongjun Wang AAML 23 1 0 07 Sep 2023
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering Yijun Dong Kevin Miller Qiuyu Lei Rachel A. Ward 25 4 0 20 Jul 2023
Instruction Tuned Models are Quick Learners Himanshu Gupta Saurabh Arjun Sawant Swaroop Mishra Mutsumi Nakamura Arindam Mitra Santosh Mashetty Chitta Baral 26 26 0 17 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
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection Phi Vu Tran ObjD 28 2 0 10 Mar 2023
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 23 1 0 08 Dec 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthuraman Chidambaram Xiang Wang Chenwei Wu Rong Ge MLT 11 8 0 24 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 38 26 0 10 Oct 2022
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift Yijun Dong Yuege Xie Rachel A. Ward OOD 17 0 0 04 Oct 2022
Regularising for invariance to data augmentation improves supervised learning Aleksander Botev Matthias Bauer Soham De 32 14 0 07 Mar 2022
Data Augmentation as Feature Manipulation Ruoqi Shen Sébastien Bubeck Suriya Gunasekar MLT 22 16 0 03 Mar 2022
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 46 89 0 25 Feb 2021