Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kopparti, Radha"'
Autor:
Kopparti, Radha, Weyde, Tillman
Deep neural networks have become the dominant approach in natural language processing (NLP). However, in recent years, it has become apparent that there are shortcomings in systematicity that limit the performance and data efficiency of deep learning
Externí odkaz:
http://arxiv.org/abs/2103.06198
Autor:
Kopparti, Radha, Weyde, Tillman
Publikováno v:
Proceedings of KR2ML @ NeurIPS 2019, Vancouver, Canada
Learning abstract and systematic relations has been an open issue in neural network learning for over 30 years. It has been shown recently that neural networks do not learn relations based on identity and are unable to generalize well to unseen data.
Externí odkaz:
http://arxiv.org/abs/2003.03125
Autor:
Kopparti, Radha, Weyde, Tillman
Publikováno v:
ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning}, Long Beach, California, 201
Many researchers implicitly assume that neural networks learn relations and generalise them to new unseen data. It has been shown recently, however, that the generalisation of feed-forward networks fails for identity relations.The proposed solution f
Externí odkaz:
http://arxiv.org/abs/1906.05449
Publikováno v:
Journal of applied logics (Online) ISSN 2631-9829 Volume 6, Number 4, June 2019
In this paper, we show that standard feed-forward and recurrent neural networks fail to learn abstract patterns based on identity rules. We propose Relation Based Pattern (RBP) extensions to neural network structures that solve this problem and answe
Externí odkaz:
http://arxiv.org/abs/1812.02616
Publikováno v:
Relational Representation Learning (R2L) Workshop, NeurIPS 2018
Basic binary relations such as equality and inequality are fundamental to relational data structures. Neural networks should learn such relations and generalise to new unseen data. We show in this study, however, that this generalisation fails with s
Externí odkaz:
http://arxiv.org/abs/1812.01662
Autor:
Asano, Rie, Bornus, Pia, Craft, Justin T., Dolscheid, Sarah, Faber, Sarah E. M., Haase, Viviana, Heimerich, Marvin, Kopparti, Radha, Lobben, Marit, Osawa, Ayumi M., Oudyk, Kendra, Trettenbrein, Patrick C., Varelmann, Timo, Wehrle, Simon, Ya, Runa, Grice, Martine, Vogeley, Kai
Publikováno v:
Music & Science, Vol 1 (2018)
The interdisciplinary spring school “Language, music, and cognition: Organizing events in time” was held from February 26 to March 2, 2018 at the Institute of Musicology of the University of Cologne. Language, speech, and music as events in time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::01effedc24230e03899b58c08bc43dbe
https://doaj.org/article/4698ee38dd0744969e8bb8f904d228ce
https://doaj.org/article/4698ee38dd0744969e8bb8f904d228ce
