Shawn Tan
Shawn Tan
Montreal Institute of Learning Algorithms
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TitleCited byYear
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Y Shen, S Tan, A Sordoni, A Courville
International Conference on Learning Representations (ICLR), 2019, 2019
Improving the interpretability of deep neural networks with stimulated learning
S Tan, KC Sim, M Gales
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
Learning utterance-level normalisation using Variational Autoencoders for robust automatic speech recognition
S Tan, KC Sim
Spoken Language Technology Workshop (SLT), 2016 IEEE, 2016
Improving explorability in variational inference with annealed variational objectives
CW Huang, S Tan, A Lacoste, AC Courville
Advances in Neural Information Processing Systems, 9701-9711, 2018
Self-organized hierarchical softmax
Y Shen, S Tan, C Pal, A Courville
arXiv preprint arXiv:1707.08588, 2017
Towards implicit complexity control using variable-depth deep neural networks for automatic speech recognition
S Tan, KC Sim
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Generating contradictory, neutral, and entailing sentences
Y Shen, S Tan, CW Huang, A Courville
arXiv preprint arXiv:1803.02710, 2018
Inferring Identity Factors for Grouped Examples
S Tan, CJ Pal, A Courville
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
S Tan, G Androz, A Chamseddine, P Fecteau, A Courville, Y Bengio, ...
arXiv preprint arXiv:1910.09570, 2019
Latent variable language models
S Tan
Ordered Memory
Y Shen, S Tan, A Hosseini, Z Lin, A Sordoni, AC Courville
Advances in Neural Information Processing Systems, 5038-5049, 2019
grabsmart: A User-centric Web Information Extraction System
S Tan
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Articles 1–12