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We introduce hyperbolic attention networks to endow neural networks with enough capacity to match the complexity of data with hierarchical and power-law structure.
Psychophysical bases of perceived exertion
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Greedy forwarding in dynamic scale-free networks embedded in hyperbolic metric spaces
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Low distortion delaunay embedding of trees in hyperbolic plane
Rik Sarkar · 2011
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Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013
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Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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A multi-world approach to question answering about real-world scenes based on uncertain input
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Zipf’s word frequency law in natural language: A critical review and future directions
Steven T Piantadosi · 2014
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Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh · 2015
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Benjamin Paul Chamberlain, James Clough, and Marc Peter Deisenroth · 2017
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One-shot imitation learning
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Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
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Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
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Critical behavior in physics and probabilistic formal languages
Henry W Lin and Max Tegmark · 2017
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Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel · 2015
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
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Generating random hyperbolic graphs in subquadratic time
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Interaction networks for learning about objects, relations and physics
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Convolutional neural networks on graphs with fast localized spectral filtering
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Hybrid computing using a neural network with dynamic external memory
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Poincaré embeddings for learning hierarchical representations
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A simple neural network module for relational reasoning
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Do neural nets learn statistical laws behind natural language?
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Attention is all you need
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Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2017
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Neural relational inference for interacting systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard Zemel · 2018
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Hyperbolic representation learning for fast and efficient neural question answering
Yi Tay, Luu Anh Tuan, and Siu Cheung Hui · 2018
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