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Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning



Antonia Creswell , Murray Shanahan , Irina Higgins


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Abstraction for Deep Reinforcement Learning



Murray Shanahan , Melanie Mitchell


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Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning



Wilka Carvalho , Andrew Lampinen , Kyriacos Nikiforou , Felix Hill , Murray Shanahan


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In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications



Borja G. León , Murray Shanahan , Francesco Belardinelli


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Encoders and Ensembles for Task-Free Continual Learning



Murray Shanahan , Christos Kaplanis , Jovana Mitrović


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Unsupervised Object-Based Transition Models for 3D Partially Observable Environments



Antonia Creswell , Rishabh Kabra , Chris Burgess , Murray Shanahan


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AlignNet: Unsupervised Entity Alignment



Antonia Creswell , Kyriacos Nikiforou , Oriol Vinyals , Andre Saraiva , Rishabh Kabra , Loic Matthey , Chris Burgess , Malcolm Reynolds , Richard Tanburn , Marta Garnelo , Murray Shanahan


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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules



Sarthak Mittal , Alex Lamb , Anirudh Goyal , Vikram Voleti , Murray Shanahan , Guillaume Lajoie , Michael Mozer , Yoshua Bengio

* ICML 2020 

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