Learning without Forgetting - Google Scholar Metrics

Articles citing Learning without Forgetting

Title / Author	Year
icarl: Incremental classifier and representation learning SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert Proceedings of the IEEE conference on Computer Vision and Pattern …	2017
Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli Proceedings of machine learning research 70, 3987	2017
Continual lifelong learning with neural networks: A review GI Parisi, R Kemker, JL Part, C Kanan, S Wermter Neural Networks 113, 54-71	2019
Gradient episodic memory for continual learning D Lopez-Paz, MA Ranzato Advances in neural information processing systems, 6467-6476	2017
A joint many-task model: Growing a neural network for multiple nlp tasks K Hashimoto, C Xiong, Y Tsuruoka, R Socher arXiv preprint arXiv:1611.01587	2016
Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory I Kokkinos Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Continual learning with deep generative replay H Shin, JK Lee, J Kim, J Kim Advances in Neural Information Processing Systems, 2990-2999	2017
What makes ImageNet good for transfer learning? M Huh, P Agrawal, AA Efros arXiv preprint arXiv:1608.08614	2016
Born again neural networks T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar arXiv preprint arXiv:1805.04770	2018
Variational continual learning CV Nguyen, Y Li, TD Bui, RE Turner arXiv preprint arXiv:1710.10628	2017
Overcoming catastrophic forgetting by incremental moment matching SW Lee, JH Kim, J Jun, JW Ha, BT Zhang Advances in neural information processing systems, 4652-4662	2017
Memory aware synapses: Learning what (not) to forget R Aljundi, F Babiloni, M Elhoseiny, M Rohrbach, T Tuytelaars Proceedings of the European Conference on Computer Vision (ECCV), 139-154	2018
Learning multiple visual domains with residual adapters SA Rebuffi, H Bilen, A Vedaldi Advances in Neural Information Processing Systems, 506-516	2017
Progress & compress: A scalable framework for continual learning J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ... arXiv preprint arXiv:1805.06370	2018
How to backdoor federated learning E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov International Conference on Artificial Intelligence and Statistics, 2938-2948	2020
Overcoming catastrophic forgetting with hard attention to the task J Serra, D Suris, M Miron, A Karatzoglou arXiv preprint arXiv:1801.01423	2018
Packnet: Adding multiple tasks to a single network by iterative pruning A Mallya, S Lazebnik Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Expert gate: Lifelong learning with a network of experts R Aljundi, P Chakravarty, T Tuytelaars Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
End-to-end incremental learning FM Castro, MJ Marín-Jiménez, N Guil, C Schmid, K Alahari Proceedings of the European conference on computer vision (ECCV), 233-248	2018
Riemannian walk for incremental learning: Understanding forgetting and intransigence A Chaudhry, PK Dokania, T Ajanthan, PHS Torr Proceedings of the European Conference on Computer Vision (ECCV), 532-547	2018

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