Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks

6 June 2021

Papers citing "Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks"

7 / 7 papers shown

Title
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 102 1,139 0 30 Jan 2018
Deep Learning for Sensor-based Activity Recognition: A Survey Jindong Wang Yiqiang Chen Shuji Hao Xiaohui Peng Lisha Hu HAI 40 1,631 0 12 Jul 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,711 0 26 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,705 0 15 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 360 7,504 0 02 Dec 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 220 1,511 0 08 Jun 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013