10 citations · 10 across the 1 of their papers we have counts for
3 papers
cs.LG2020★ 10 cited
Routing Networks with Co-training for Continual Learning
Mark Collier, Efi Kokiopoulou, Andrea Gesmundo +1
The core challenge with continual learning is catastrophic forgetting, the phenomenon that when neural networks are trained on a sequence of tasks they rapidly forget previously le…
cs.LG2019
Scalable Deep Unsupervised Clustering with Concrete GMVAEs
Mark Collier, Hector Urdiales
Discrete random variables are natural components of probabilistic clustering models. A number of VAE variants with discrete latent variables have been developed. Training such meth…
cs.LG2019
Memory-Augmented Neural Networks for Machine Translation
Mark Collier, Joeran Beel
Memory-augmented neural networks (MANNs) have been shown to outperform other recurrent neural network architectures on a series of artificial sequence learning tasks, yet they have…