Bayesian incremental learning for deep neural networks
M. Kochurov, T. Garipov, D. Podoprikhin, D. Molchanov, A. Ashukha, and D. Vetrov · 2018
Later among the works it cites.
Learning without forgetting
Z. Li and D. Hoiem · 2018
Later among the works it cites.
Variational continual learning
C. V. Nguyen, Y. Li, T. D. Bui, and R. E. Turner · 2018
Later among the works it cites.
Continual lifelong learning with neural networks: A review
Original
G. I. Parisi, R. Kemker, J. L. Part, C. Kanan, and S. Wermter · 2018
Later among the works it cites.
Online structured Laplace approximations for overcoming catastrophic forgetting
Original
H. Ritter, A. Botev, and D. Barber · 2018
Later among the works it cites.
Towards a natural benchmark for continual learning
J. Schwarz, D. Altman, A. Dudzik, O. Vinyals, Y. W. Teh, and R. Pascanu · 2018
Later among the works it cites.
Progress & compress: A scalable framework for continual learning
J. Schwarz, J. Luketina, W. M. Czarnecki, A. Grabska-Barwinska, Y. W. Teh, R. Pascanu, and R. Hadsell · 2018
Later among the works it cites.
Overcoming catastrophic forgetting with hard attention to the task
J. Serrà, D. Surís, M. Miron, and A. Karatzoglou · 2018
Later among the works it cites.
Improving and understanding variational continual learning
S. Swaroop, C. V. Nguyen, T. D. Bui, and R. E. Turner · 2018
Later among the works it cites.
Natural variational continual learning
H. Tseran, M. E. Khan, T. Harada, and T. D. Bui · 2018
Later among the works it cites.
Lifelong learning with dynamically expandable networks
J. Yoon, E. Yang, J. Lee, and S. J. Hwang · 2018
Later among the works it cites.
Taskonomy: Disentangling task transfer learning
A. R. Zamir, A. Sax, W. Shen, L. Guibas, J. Malik, and S. Savarese · 2018
Later among the works it cites.
Task agnostic continual learning using online variational Bayes
C. Zeno, I. Golan, E. Hoffer, and D. Soudry · 2018
Later among the works it cites.
Task2Vec: Task embedding for meta-learning
Original
A. Achille, M. Lam, R. Tewari, A. Ravichandran, S. Maji, C. Fowlkes, S. Soatto, and P. Perona · 2019
Closest in time.
notMNIST dataset
Y. Bulatov · 2019
Closest in time.
Efficient lifelong learning with A-GEM
A. Chaudhry, M. Ranzato, M. Rohrbach, and M. Elhoseiny · 2019
Closest in time.
Transferability and hardness of supervised classification tasks
A. T. Tran, C. V. Nguyen, and T. Hassner · 2019
Closest in time.