Benjamin van Niekerk

According to our database1, Benjamin van Niekerk authored at least 9 papers between 2015 and 2020.

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Bibliography

2020
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks.
Pattern Recognit. Lett., 2020

Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks.
CoRR, 2020

Towards localisation of keywords in speech using weak supervision.
CoRR, 2020

Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge.
Proceedings of the Interspeech 2020, 2020

2019
Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural Networks.
Proceedings of the Interspeech 2019, 2019

Composing Value Functions in Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Will it Blend? Composing Value Functions in Reinforcement Learning.
CoRR, 2018

2017
Online Constrained Model-based Reinforcement Learning.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2015
An Intermediate Value Theorem for the Decycling Numbers of Toeplitz Graphs.
Graphs Comb., 2015


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