Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy

21 November 2019

Papers citing "Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy"

8 / 8 papers shown

Title
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning Yangning Li Zihua Lan Lv Qingsong Hai-Tao Zheng Hai-Tao Zheng 50 0 0 09 Apr 2025
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 47 387 0 15 Sep 2020
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 562 4,735 0 13 May 2019
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 47 242 0 01 Nov 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 154 2,543 0 07 Oct 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 353 8,999 0 10 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 59 1,312 0 02 Jun 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 366 7,650 0 03 Jul 2012