24 citations · 83 across the 12 of their papers we have counts for
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cs.AI2019★ 14 cited
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains
Samira Abnar, Lisa Beinborn, Rochelle Choenni +1
In this paper, we define and apply representational stability analysis (ReStA), an intuitive way of analyzing neural language models. ReStA is a variant of the popular representati…
cs.AI2019★ 16 cited
Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization
Mathijs Mul, Willem Zuidema
Can neural nets learn logic? We approach this classic question with current methods, and demonstrate that recurrent neural networks can learn to recognize first order logical entai…
cs.AI2016★ 13 cited
Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs
Phong Le, Willem Zuidema
Recursive neural networks (RNN) and their recently proposed extension recursive long short term memory networks (RLSTM) are models that compute representations for sentences, by re…