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Learning Distributed Representations of Concepts Using Linear Relational Embedding

, and . GCNU TR 2000-002. Gatsby Computational Neuroscience Unit, University College London, (2000)

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UBC Department of Computer Science's Distinguished Lecture Series. (2013)Deep learning for AI, , and . 64 (7): 58--65 (July 2021)Speech recognition with deep recurrent neural networks, , and . 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, page 6645--6649. IEEE, (May 2013)Deep learning, , and . nature, 521 (7553): 436 (2015)YouTube - The Next Generation of Neural Networks. (2007)Visualizing data using t-SNE, and . Journal of machine learning research, 9 (Nov): 2579--2605 (2008)Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions, , , , , and . (2019)cite arxiv:1907.02957.A practical guide to training restricted Boltzmann machines. Momentum, 9 (1): 926 (2010)Learning Distributed Representations of Concepts Using Linear Relational Embedding, and . GCNU TR 2000-002. Gatsby Computational Neuroscience Unit, University College London, (2000)How to represent part-whole hierarchies in a neural network. arXiv preprint arXiv:2102.12627, (2021)