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Continual Learning in Human Activity Recognition: an Empirical Analysis
  of Regularization

Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization

6 July 2020
Saurav Jha
Martin Schiemer
Juan Ye
    CLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization"

7 / 7 papers shown
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning
Yuanlong Wu
Mingxing Nie
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
CLL
325
1
0
10 Mar 2025
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
505
2
0
01 Oct 2024
Class-incremental Learning for Time Series: Benchmark and Evaluation
Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang Pham
Zhen Cao
Hoang H Le
Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
241
16
0
19 Feb 2024
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class
  Incremental Learning
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental LearningInternational Conference on Information and Knowledge Management (CIKM), 2023
Anton Lee
Yaqian Zhang
Heitor Murilo Gomes
Nikolaos Perrakis
Bernhard Pfahringer
CLL
202
3
0
30 Oct 2023
Towards Learning Discrete Representations via Self-Supervision for
  Wearables-Based Human Activity Recognition
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity RecognitionItalian National Conference on Sensors (INS), 2023
H. Haresamudram
Irfan Essa
Thomas Ploetz
241
11
0
01 Jun 2023
Harnessing the Power of Explanations for Incremental Training: A
  LIME-Based Approach
Harnessing the Power of Explanations for Incremental Training: A LIME-Based ApproachEuropean Signal Processing Conference (EUSIPCO), 2022
A. Mazumder
Niall Lyons
Ashutosh Pandey
Avik Santra
T. Mohsenin
FAtt
207
3
0
02 Nov 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity
  Recognition Using Prototypical Networks
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical NetworksItalian National Conference on Sensors (INS), 2022
Rebecca Adaimi
Edison Thomaz
CLL
155
19
0
11 Mar 2022
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