Automatic Data Augmentation via Invariance-Constrained Learning

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Automatic Data Augmentation via Invariance-Constrained Learning

International Conference on Machine Learning (ICML), 2022

29 September 2022

Luiz F. O. Chamon

Alejandro Ribeiro

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Papers citing "Automatic Data Augmentation via Invariance-Constrained Learning"

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Title
Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise Juan Ramirez Damien Scieur 56 0 0 26 Sep 2025
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition Anqi Xiao Weichen Yu Hongyuan Yu 72 1 0 11 Aug 2025
Optimizing Data Augmentation through Bayesian Model Selection Madi Matymov Ba-Hien Tran Michael Kampffmeyer Markus Heinonen Maurizio Filippone 201 1 0 27 May 2025
Learning Tree-Structured Composition of Data Augmentation Dongyue Li Kailai Chen P. Radivojac Hongyang R. Zhang 248 1 0 26 Aug 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 281 1 0 15 Mar 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification Puru Vaish Shunxin Wang N. Strisciuglio 220 19 0 04 Mar 2024
Balancing Act: Constraining Disparate Impact in Sparse ModelsInternational Conference on Learning Representations (ICLR), 2023 Meraj Hashemizadeh Juan Ramirez Rohan Sukumaran G. Farnadi Damien Scieur Jose Gallego-Posada 250 9 0 31 Oct 2023
Data Optimization in Deep Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Ou Wu Rujing Yao 257 4 0 25 Oct 2023
Resilient Constrained LearningNeural Information Processing Systems (NeurIPS), 2023 Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 213 13 0 04 Jun 2023
A Lagrangian Duality Approach to Active LearningNeural Information Processing Systems (NeurIPS), 2022 Juan Elenter Navid Naderializadeh Alejandro Ribeiro 309 28 0 08 Feb 2022