1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders
Lisa Bonheme, Marek Grzes
When training a variational autoencoder (VAE) on a given dataset, determining the optimal number of latent variables is mostly done by grid search: a costly process in terms of com…
cs.LG2018
Reinforcement Learning using Augmented Neural Networks
Jack Shannon, Marek Grzes
Neural networks allow Q-learning reinforcement learning agents such as deep Q-networks (DQN) to approximate complex mappings from state spaces to value functions. However, this als…
cs.CL2017
Improving Language Modelling with Noise-contrastive estimation
Farhana Ferdousi Liza, Marek Grzes
Neural language models do not scale well when the vocabulary is large. Noise-contrastive estimation (NCE) is a sampling-based method that allows for fast learning with large vocabu…