RegMix: Data Mixing Augmentation for Regression

7 June 2021

Papers citing "RegMix: Data Mixing Augmentation for Regression"

10 / 10 papers shown

Title
MixMin: Finding Data Mixtures via Convex Minimization Anvith Thudi Evianne Rovers Yangjun Ruan Tristan Thrush Chris J. Maddison 67 0 0 14 Feb 2025
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 64 247 0 09 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 62 387 0 15 Sep 2020
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 52 205 0 16 Nov 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 56 402 0 14 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 587 4,735 0 13 May 2019
A Tutorial on Bayesian Optimization P. Frazier GP 87 1,770 0 08 Jul 2018
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 63 349 0 06 Sep 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 294 10,412 0 21 Jul 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 168 8,805 0 04 Feb 2016