Publications

Here are listed a few publications associated with the cluster. If you would like to have your publications listed here, please use the contact form. Please don’t forget to reference the cluster.

2021

Artjoms Šinkarovs, Hans-Nikolai Vießmann, and Sven-Bodo Scholz. “Array Languages Make Neural Networks Fast”. ARRAY 2021. Link: https://doi.org/10.1145/3460944.3464312

Robert Stewart, Andrew Nowlan, Pascal Bacchus, Quentin Ducasse, Ekaterina Komendantskaya. “Optimising Hardware Accelerated Neural Networks with Quantisation and a Knowledge Distillation Evolutionary Algorithm”. Electronics, 2021. Link: https://doi.org/10.3390/electronics10040396

2020

Hans-Nikolai Vießmann and Sven-Bodo Scholz. “Effective Host-GPU Memory Management Through Code Generation”. IFL 2020. Link: https://doi.org/10.1145/3462172.3462199

Kirsty Duncan, Ekaterina Komendantskaya, Robert Stewart, Michael Lones. “Relative Robustness of Quantized Neural Networks Against Adversarial Attacks.” International Joint Conference on Neural Networks (IJCNN) 2020, IEEE. Link: https://doi.org/10.1109/IJCNN48605.2020.9207596

2019

Artjoms Šinkarovs, Hans-Nikolai Vießmann, Sven-Bodo Scholz. “Array Languages Make Neural Networks Fast”. 2019, arXiv.org. Link: https://arxiv.org/abs/1912.05234v1

Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon. “Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks”. EMNLP 2019. Link: https://arxiv.org/abs/1910.01302

Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon. “Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach”. SigDial 2019. Link: https://www.aclweb.org/anthology/W19-5904.pdf

Matias Alejandro Valdenegro Toro. “Deep Neural Networks for Marine Debris Detection in Sonar Images”. PhD Thesis, Heriot-Watt University, Edinburgh, UK, 13 May 2019. Link: https://arxiv.org/abs/1905.05241

2018

Hans-Nikolai Vießmann, Artjoms Šinkarovs, and Sven-Bodo Scholz. “Extended Memory Reuse: An Optimisation for Reducing Memory Allocations”. IFL 2018. Link: https://doi.org/10.1145/3310232.3310242

Igor Shalyminov, Arash Eshghi, and Oliver Lemon. “Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems”. SemDial 2018. Link: http://semdial.org/anthology/papers/Z/Z18/Z18-3008/

Igor Shalyminov, Ondrej Dusek, and Oliver Lemon. “Neural Response Ranking for Social Conversation: A Data-Efficient Approach”. Search-Oriented Conversational AI, an EMNLP 2018 Workshop. Link: https://www.aclweb.org/anthology/W18-5701/

2017

Arash Eshghi, Igor Shalyminov, and Oliver Lemon. “Bootstrapping incremental dialogue systems from minimal data: the generalisation power of semantic grammars”. EMNLP 2017. Link: https://www.aclweb.org/anthology/D17-1236/

Igor Shalyminov, Arash Eshghi, and Oliver Lemon. “Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena”. SemDial 2017. Link: http://semdial.org/anthology/papers/Z/Z17/Z17-3016/

Ioannis M. Chalkiadakis. “TRustNN: towards Building Trust InLSTM Networks for an Emotionrecognition Task, through Data-Driven,Interpretable Visualizations”. MSc Thesis, Heriot-Watt University, Edinburgh, UK, 2017.