A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments

16 February 2022

Papers citing "A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments"

14 / 14 papers shown

Title
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 40 1 0 05 Jul 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 31 2 0 23 May 2024
Poly-View Contrastive Learning Amitis Shidani Devon Hjelm Jason Ramapuram Russ Webb Eeshan Gunesh Dhekane Dan Busbridge VLM SSL 31 4 0 08 Mar 2024
Understanding the Detrimental Class-level Effects of Data Augmentation Polina Kirichenko Mark Ibrahim Randall Balestriero Diane Bouchacourt Ramakrishna Vedantam Hamed Firooz Andrew Gordon Wilson 37 12 0 07 Dec 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 24 4 0 25 Nov 2023
SeqAug: Sequential Feature Resampling as a modality agnostic augmentation method Efthymios Georgiou Alexandros Potamianos 19 1 0 03 May 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
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples Cong Wang Eric Florin Hsing-Yin Chang Jana Thayer Chun Hong Yoon 18 4 0 14 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 19 12 0 01 Feb 2023
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 21 35 0 12 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 30 26 0 10 Oct 2022
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning Riccardo Finotello D. L’hermite Celine Quéré Benjamin Rouge M. Tamaazousti J. Sirven 22 1 0 07 Oct 2022
Is Self-Supervised Learning More Robust Than Supervised Learning? Yuanyi Zhong Haoran Tang Jun-Kun Chen Jian-wei Peng Yu-xiong Wang SSL OOD 25 24 0 10 Jun 2022
The Effects of Regularization and Data Augmentation are Class Dependent Randall Balestriero Léon Bottou Yann LeCun 28 94 0 07 Apr 2022