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Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language

Nov 18, 2020
Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang


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Universal linguistic inductive biases via meta-learning

Jun 29, 2020
R. Thomas McCoy, Erin Grant, Paul Smolensky, Thomas L. Griffiths, Tal Linzen

* To appear in the Proceedings of the 42nd Annual Conference of the Cognitive Science Society 

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Discovering the Compositional Structure of Vector Representations with Role Learning Networks

Nov 17, 2019
Paul Soulos, Tom McCoy, Tal Linzen, Paul Smolensky


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HUBERT Untangles BERT to Improve Transfer across NLP Tasks

Oct 25, 2019
Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao


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Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving

Oct 15, 2019
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao


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Natural- to formal-language generation using Tensor Product Representations

Oct 05, 2019
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao


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RNNs Implicitly Implement Tensor Product Representations

Dec 20, 2018
R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky

* 8 pages plus references and appendices 

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Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations

Nov 03, 2018
Shuai Tang, Paul Smolensky, Virginia R. de Sa


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Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations

Nov 02, 2018
Matthias Lalisse, Paul Smolensky

* 10 pages, 2 figures, To appear in proceedings of the Society for Computation in Linguistics (SCIL 2019) 

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A Neural-Symbolic Approach to Design of CAPTCHA

Sep 25, 2018
Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Wu

* arXiv admin note: substantial text overlap with arXiv:1709.09118 

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Predicting Argumenthood of English Preposition Phrases

Sep 24, 2018
Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky


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Learning and analyzing vector encoding of symbolic representations

Mar 10, 2018
Roland Fernandez, Asli Celikyilmaz, Rishabh Singh, Paul Smolensky


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Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation

Jan 04, 2018
Paul Tupper, Paul Smolensky, Pyeong Whan Cho


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Tensor Product Generation Networks for Deep NLP Modeling

Dec 16, 2017
Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Wu


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Question-Answering with Grammatically-Interpretable Representations

Sep 25, 2017
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng


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Reasoning in Vector Space: An Exploratory Study of Question Answering

Feb 26, 2016
Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky


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Basic Reasoning with Tensor Product Representations

Jan 12, 2016
Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng


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