Fetching the paper…
Reading the bibliography…
We present a detailed comparison of two types of sequence to sequence models trained to conduct a compositional task.
The language of thought , volume 5
Jerry A Fodor. 1975 · 1975
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
The case for compositionality
Zoltan Szabó. 2012 · 2012
Earlier work this paper cites.
Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton. 2013 · 2013
Earlier work this paper cites.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Visualizing and understanding recurrent networks
Andrej Karpathy, Justin Johnson, and Li Fei-Fei. 2015 · 2016
Cited alongside, same era.
Probing the compositionality of intuitive functions
Eric Schulz, Josh Tenenbaum, David K Duvenaud, Maarten Speekenbrink, and Samuel J Gershman. 2016 · 2016
Cited alongside, same era.
Diagnostic classification and symbolic guidance to understand and improve recurrent neural networks. Interpreting, explaining and visualizing deep learning
D. Hupkes and W. Zuidema. 2017 · 2017
Cited alongside, same era.
A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee. 2017 · 2017
Cited alongside, same era.
Visualisation and ’diagnostic classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure
Dieuwke Hupkes, Sara Veldhoen, and Willem Zuidema. 2018 · 2018
Later among the works it cites.
What is one grain of sand in the desert? analyzing individual neurons in deep nlp models
Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, and James Glass. 2019 · 2019
Closest in time.
Learning compositionally through attentive guidance
Dieuwke Hupkes, Anand Singh, Kris Korrel, German Kruszewski, and Elia Bruni. 2019 · 2019
Closest in time.
Transcoding compositionally: using attention to find more generalizable solutions
Kris Korrel, Dieuwke Hupkes, Verna Dankers, and Elia Bruni. 2019 · 2019
Closest in time.
Memorize or generalize? searching for a compositional rnn in a haystack
Adam Liška, Germán Kruszewski, and Marco Baroni. 2019 · 2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…