RNNs Implicitly Implement Tensor Product Representations

20 December 2018

Papers citing "RNNs Implicitly Implement Tensor Product Representations"

7 / 7 papers shown

Title
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 73 3 0 24 May 2024
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models Emmy Liu Graham Neubig CoGe 18 10 0 07 Oct 2022
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages Paul Soulos Sudha Rao Caitlin Smith Eric Rosen Asli Celikyilmaz ... Coleman Haley Roland Fernandez Hamid Palangi Jianfeng Gao P. Smolensky 26 6 0 11 Aug 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges Denis Kleyko D. Rachkovskij Evgeny Osipov A. Rahim 24 126 0 12 Nov 2021
Discovering the Compositional Structure of Vector Representations with Role Learning Networks Paul Soulos R. Thomas McCoy Tal Linzen P. Smolensky CoGe 29 43 0 21 Oct 2019
Compositional Generalization in Image Captioning Mitja Nikolaus Mostafa Abdou Matthew Lamm Rahul Aralikatte Desmond Elliott CoGe 24 49 0 10 Sep 2019
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 210 1,367 0 06 Jun 2016