Google integrated our implementation of a Neural Turing Machine (NTM) into its official TensorFlow release 1.14.0. The implementation is based on the work of our student Mark Collier. The work was previously published at the 27th International Conference on Artificial Neural Networks Conference ICANN and received the best-paper award. Neural Read more…
Update 2019-05-25: Google integrates our Neural Turing Machine implementation in TensorFlow. We received the best-paper award at the 27th International Conference on Artificial Neural Networks (ICANN 2018) for our paper Implementing Neural Turing Machines. Our student, and co-author of the paper, Mark Collier was at ICANN to present our work about implementing Read more…
Update 12/11/2018: Our paper has been accepted at AICS 2018 and will be presented at the conference in December. We have published a pre-print (now available on Arxiv) which outlines our work comparing different syllabuses for curriculum learning. Neural networks are typically trained by repeatedly randomly selecting examples from a Read more…
Update 2019-05-25: Google integrates our NTM implementation in the official TensorFlow release. Update 2018-10-20: Official publication available at SpringerLink Update: 2018-10-06: Our paper received the best-paper award at ICANN. We have released an open source implementation of a Neural Turing Machine for TensorFlow, and published on arXiv the corresponding paper which Read more…