Search Results - "Csaky, Richard"

Interpretable many-class decoding for MEG by Csaky, Richard, van Es, Mats W.J., Jones, Oiwi Parker, Woolrich, Mark

“…Multivariate pattern analysis (MVPA) of Magnetoencephalography (MEG) and Electroencephalography (EEG) data is a valuable tool for understanding how the brain…”
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Group-level brain decoding with deep learning by Csaky, Richard, van Es, Mats W J, Jones, Oiwi Parker, Woolrich, Mark

“…Decoding brain imaging data are gaining popularity, with applications in brain-computer interfaces and the study of neural representations. Decoding is…”
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Proposal Towards a Personalized Knowledge-powered Self-play Based Ensemble Dialog System by Csaky, Richard

“…This is the application document for the 2019 Amazon Alexa competition. We give an overall vision of our conversational experience, as well as a sample…”
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Deep Learning Based Chatbot Models by Csaky, Richard

“…A conversational agent (chatbot) is a piece of software that is able to communicate with humans using natural language. Modeling conversation is an important…”
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The Gutenberg Dialogue Dataset by Csaky, Richard, Recski, Gabor

“…Large datasets are essential for neural modeling of many NLP tasks. Current publicly available open-domain dialogue datasets offer a trade-off between quality…”
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Foundational GPT Model for MEG by Csaky, Richard, van Es, Mats W. J, Jones, Oiwi Parker, Woolrich, Mark

“…Deep learning techniques can be used to first training unsupervised models on large amounts of unlabelled data, before fine-tuning the models on specific…”
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Group-level Brain Decoding with Deep Learning by Csaky, Richard, Van Es, Mats, Jones, Oiwi Parker, Woolrich, Mark

“…Decoding brain imaging data are gaining popularity, with applications in brain-computer interfaces and the study of neural representations. Decoding is…”
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Improving Neural Conversational Models with Entropy-Based Data Filtering by Csaky, Richard, Purgai, Patrik, Recski, Gabor

“…Proceedings of the 57th Conference of the ACL (2019) 5650-5669 Current neural network-based conversational models lack diversity and generate boring responses…”
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