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A Neural Network Model of Continual Learning with Cognitive Control



Jacob Russin , Maryam Zolfaghar , Seongmin A. Park , Erie Boorman , Randall C. O'Reilly

* 7 pages, 5 figures, submitted to CogSci 2022 

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Locally Learned Synaptic Dropout for Complete Bayesian Inference



Kevin L. McKee , Ian C. Crandell , Rishidev Chaudhuri , Randall C. O'Reilly

* 30 pages, 8 Figures 

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Complementary Structure-Learning Neural Networks for Relational Reasoning



Jacob Russin , Maryam Zolfaghar , Seongmin A. Park , Erie Boorman , Randall C. O'Reilly

* 7 pages, 4 figures, Accepted to CogSci 2021 for poster presentation 

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Learning Representations that Support Extrapolation



Taylor W. Webb , Zachary Dulberg , Steven M. Frankland , Alexander A. Petrov , Randall C. O'Reilly , Jonathan D. Cohen

* ICML 2020 

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Compositional generalization in a deep seq2seq model by separating syntax and semantics



Jake Russin , Jason Jo , Randall C. O'Reilly , Yoshua Bengio

* 18 pages, 15 figures, preprint version of submission to NeurIPS 2019, under review 

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