Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning

23 September 2023

Papers citing "Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning"

8 / 8 papers shown

Title
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation Salar Abbaspourazad Anshuman Mishra Joseph D. Futoma Andrew C. Miller Ian Shapiro 83 0 0 15 Dec 2024
SimPer: Simple Self-Supervised Learning of Periodic Targets Yuzhe Yang Xin Liu Jiang Wu Silviu Borac Dina Katabi M. Poh Daniel J. McDuff 41 45 0 06 Oct 2022
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features Gwantae Kim D. Han Hanseok Ko 40 42 0 06 Aug 2021
Improving Contrastive Learning by Visualizing Feature Transformation Rui Zhu Bingchen Zhao Jingen Liu Zhenglong Sun C. L. P. Chen SSL 96 77 0 06 Aug 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 173 0 05 Feb 2021
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding Hao Fu Shaojun Zhou Qihong Yang Junjie Tang Guiquan Liu Kaikui Liu Xiaolong Li 25 56 0 14 Dec 2020
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 92 79 0 13 Oct 2020