1 code implementation • 26 Aug 2022 • Gideon Kowadlo, Abdelrahman Ahmed, Amir Mayan, David Rawlinson
Continual learning and few-shot learning are important frontiers in progress towards broader Machine Learning (ML) capabilities.
no code implementations • 15 Feb 2021 • Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
The results demonstrated that with the addition of AHA, the system could learn in one-shot and consolidate the knowledge for the long term without catastrophic forgetting.
1 code implementation • 30 Oct 2020 • Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
We propose an extension to the standard Omniglot classification-generalisation framework that additionally tests the ability to distinguish specific instances after one exposure and introduces noise and occlusion corruption.
no code implementations • 23 Sep 2019 • Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
AHA is a biologically-plausible computational model of the Hippocampus.
no code implementations • 28 May 2019 • David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo
We present a recurrent neural network memory that uses sparse coding to create a combinatoric encoding of sequential inputs.
1 code implementation • 17 Apr 2018 • David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo
We show that unsupervised training of latent capsule layers using only the reconstruction loss, without masking to select the correct output class, causes a loss of equivariances and other desirable capsule qualities.