Paul Smolensky
Orcid: 0000-0003-2420-182X
According to our database1,
Paul Smolensky
authored at least 60 papers
between 1983 and 2023.
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Bibliography
2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models.
CoRR, 2022
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages.
CoRR, 2022
Neurocompositional Computing: From the Central Paradox of Cognition to a New Generation of AI Systems.
AI Mag., 2022
2021
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN.
CoRR, 2021
CoRR, 2021
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
2020
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language.
CoRR, 2020
Mapping natural-language problems to formal-language solutions using structured neural representations.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020
2019
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving.
CoRR, 2019
CoRR, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations.
CoRR, 2018
Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations.
CoRR, 2018
Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation.
CoRR, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Deep Learning of Grammatically-Interpretable Representations Through Question-Answering.
CoRR, 2017
2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Bifurcation analysis of a Gradient Symbolic Computation model of incremental processing.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
2014
Optimization and Quantization in Gradient Symbol Systems: A Framework for Integrating the Continuous and the Discrete in Cognition.
Cogn. Sci., 2014
2013
Top. Cogn. Sci., 2013
2012
On the Asymmetrical Difficulty of Acquiring Person Reference in French: Production Versus Comprehension.
J. Log. Lang. Inf., 2012
A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word-Order Universal.
Cogn. Sci., 2012
Proceedings of the How the World Computes, 2012
2010
2008
Cogn. Sci., 2008
2006
1999
1994
Optimality Theory: Universal Grammar, Learning and Parsing Algorithms, and Connectionist Foundations (Abstract).
Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, 1994
1993
Dynamic Conflict Resolution in a Connectionist Rule-Based System.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
1992
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
1991
Distributed Recursive Structure Processing.
Proceedings of the Third Scandinavian Conference on Artificial Intelligence, 1991
Proceedings of the Advances in Neural Information Processing Systems 4, 1991
1990
Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems.
Artif. Intell., 1990
1988
Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988
1987
Analysis of Distributed Representation of Constituent Structure in Connectionist Systems.
Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987
Proceedings of the Hypertext'87 Proceedings, 1987
Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface, 1987
1984
Proceedings of the 1984 ACM Annual Conference on Computer Science: The fifth generation challenge, 1984
The impact and issues of the fifth generation: Ethical issues in new computing technologies.
Proceedings of the 1984 ACM Annual Conference on Computer Science: The fifth generation challenge, 1984
1983
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1983
Proceedings of the National Conference on Artificial Intelligence, 1983