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Negative Selection by Clustering for Contrastive Learning in Human
  Activity Recognition

Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition

23 March 2022
Jinqiang Wang
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
    SSLHAI
ArXiv (abs)PDFHTML

Papers citing "Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition"

27 / 27 papers shown
Title
What Makes Good Contrastive Learning on Small-Scale Wearable-based
  Tasks?
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Hangwei Qian
Tian Tian
Chunyan Miao
SSL
85
53
0
12 Feb 2022
Sensor Data Augmentation by Resampling for Contrastive Learning in Human
  Activity Recognition
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
Jinqiang Wang
Tao Zhu
Jingyuan Gan
L. Chen
Huansheng Ning
Yaping Wan
39
52
0
05 Sep 2021
Mean Shift for Self-Supervised Learning
Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
58
93
0
15 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
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
249
467
0
29 Apr 2021
Solving Inefficiency of Self-supervised Representation Learning
Solving Inefficiency of Self-supervised Representation Learning
Guangrun Wang
Keze Wang
Guangcong Wang
Philip Torr
Liang Lin
SSL
74
58
0
18 Apr 2021
Contrastive Predictive Coding for Human Activity Recognition
Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
98
122
0
09 Dec 2020
Exploring Contrastive Learning in Human Activity Recognition for
  Healthcare
Exploring Contrastive Learning in Human Activity Recognition for Healthcare
Chi Ian Tang
I. Perez-Pozuelo
Dimitris Spathis
Cecilia Mascolo
101
122
0
23 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
262
4,076
0
20 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
144
1,403
0
31 Oct 2020
Evaluation: from precision, recall and F-measure to ROC, informedness,
  markedness and correlation
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
D. Powers
175
5,304
0
11 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSLAI4TS
320
715
0
10 Oct 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
156
788
0
09 Oct 2020
A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon
Kyunghyun Cho
SSL
71
104
0
31 Aug 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
293
4,103
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
429
6,849
0
13 Jun 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
517
3,449
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
402
18,913
0
13 Feb 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview,
  Challenges and Opportunities
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen
Dalin Zhang
Lina Yao
Bin Guo
Zhiwen Yu
Yunhao Liu
HAI
79
640
0
21 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
220
12,146
0
13 Nov 2019
Multi-task Self-Supervised Learning for Human Activity Detection
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed
T. Ozcelebi
J. Lukkien
SSL
135
275
0
27 Jul 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
195
1,481
0
03 Jun 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
356
10,369
0
10 Jul 2018
On Attention Models for Human Activity Recognition
On Attention Models for Human Activity Recognition
Vishvak Murahari
T. Plötz
HAI
58
145
0
19 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
191
3,472
0
05 May 2018
Protecting Sensory Data against Sensitive Inferences
Protecting Sensory Data against Sensitive Inferences
Mohammad Malekzadeh
R. Clegg
Andrea Cavallaro
Hamed Haddadi
169
171
0
21 Feb 2018
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
294
11,155
0
14 Mar 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.2K
150,433
0
22 Dec 2014
1