Fetching the paper…
Reading the bibliography…
The distributed and continuous representations used by neural networks are at odds with representations employed in linguistics, which are typically symbolic.
The zero resource speech challenge 2019: Tts without t
Ewan Dunbar, Robin Algayres, Julien Karadayi, Mathieu Bernard, Juan Benjumea, Xuan-Nga Cao, Lucie Miskic, Charlotte Dugrain, Lucas Ondel, Alan W Black, et al. 2019 · 1904
Earlier work this paper cites.
Ryan Eloff, André Nortje, Benjamin van Niekerk, Avashna Govender, Leanne Nortje, Arnu Pretorius, Elan van Biljon, Ewald van der Westhuizen, Lisa van Staden, and Herman Kamper. 2019 · 1904
Earlier work this paper cites.
VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019
Andros Tjandra, Berrak Sisman, Mingyang Zhang, Sakriani Sakti, Haizhou Li, and Satoshi Nakamura. 2019 · 1905
Earlier work this paper cites.
Robust locally weighted regression and smoothing scatterplots
William S Cleveland. 1979 · 1979
Earlier work this paper cites.
Vector-quantized autoregressive predictive coding
Yu-An Chung, Hao Tang, and James Glass. 2020 · 2005
Earlier work this paper cites.
Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge
Andros Tjandra, Sakriani Sakti, and Satoshi Nakamura. 2020 · 2005
Earlier work this paper cites.
Vector-quantized neural networks for acoustic unit discovery in the zerospeech 2020 challenge
Benjamin van Niekerk, Leanne Nortje, and Herman Kamper. 2020 · 2005
Earlier work this paper cites.
V-measure: A conditional entropy-based external cluster evaluation measure
Andrew Rosenberg and Julia Hirschberg. 2007 · 2007
Earlier work this paper cites.
Representational similarity analysis-connecting the branches of systems neuroscience
Nikolaus Kriegeskorte, Marieke Mur, and Peter A Bandettini. 2008 · 2008
Earlier work this paper cites.
Collecting image annotations using Amazon’s Mechanical Turk
Cyrus Rashtchian, Peter Young, Micah Hodosh, and Julia Hockenmaier. 2010 · 2010
Earlier work this paper cites.
The kaldi speech recognition toolkit
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, Jan Silovsky, Georg Stemmer, and Karel Vesely. 2011 · 2011
Earlier work this paper cites.
Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville. 2013 · 2013
Earlier work this paper cites.
Discovering discrete subword units with binarized autoencoders and hidden-markov-model encoders
Leonardo Badino, Alessio Mereta, and Lorenzo Rosasco. 2015 · 2015
Earlier work this paper cites.
Deep multimodal semantic embeddings for speech and images
David Harwath and James Glass. 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.
The zero resource speech challenge 2015
Maarten Versteegh, Roland Thiolliere, Thomas Schatz, Xuan Nga Cao, Xavier Anguera, Aren Jansen, and Emmanuel Dupoux. 2015 · 2015
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Cited alongside, same era.
ABX-discriminability measures and applications
Thomas Schatz. 2016 · 2016
Cited alongside, same era.
Fine-grained analysis of sentence embeddings using auxiliary prediction tasks
Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, and Yoav Goldberg. 2017 · 2017
Cited alongside, same era.
Encoding of phonology in a recurrent neural model of grounded speech
Blackbox meets blackbox: Representational similarity & stability analysis of neural language models and brains
Samira Abnar, Lisa Beinborn, Rochelle Choenni, and Willem Zuidema. 2019 · 2019
Later among the works it cites.
Correlating neural and symbolic representations of language
Grzegorz Chrupała and Afra Alishahi. 2019 · 2019
Later among the works it cites.
Language Learning Using Speech to Image Retrieval
Danny Merkx, Stefan L. Frank, and Mirjam Ernestus. 2019 · 2019
Later among the works it cites.
Evaluating the reliability of acoustic speech embeddings
Robin Algayres, Mohamed Salah Zaiem, Benoît Sagot, and Emmanuel Dupoux. 2020 · 2020
Later among the works it cites.
Analyzing analytical methods: The case of phonology in neural models of spoken language
Grzegorz Chrupała, Bertrand Higy, and Afra Alishahi. 2020 · 2020
Later among the works it cites.
Discourse structure interacts with reference but not syntax in neural language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Afra Alishahi, Marie Barking, and Grzegorz Chrupała. 2017 · 2017
Cited alongside, same era.
The zero resource speech challenge 2017
E. Dunbar, X. N. Cao, J. Benjumea, J. Karadayi, M. Bernard, L. Besacier, X. Anguera, and E. Dupoux. 2017 · 2017
Cited alongside, same era.
Cyclical learning rates for training neural networks
Leslie N Smith. 2017 · 2017
Cited alongside, same era.
Neural discrete representation learning
Aäron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu. 2017 · 2017
Cited alongside, same era.
How agents see things: On visual representations in an emergent language game
Diane Bouchacourt and Marco Baroni. 2018 · 2018
Cited alongside, same era.
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, German Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
Cited alongside, same era.
From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding
Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro Moreno, Rohit Prabhavalkar, Zhongdi Qu, and Austin Waters. 2018 · 2018
Cited alongside, same era.
Forrest Davis and Marten van Schijndel. 2020 · 2020
Later among the works it cites.
The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units
Ewan Dunbar, Julien Karadayi, Mathieu Bernard, Xuan-Nga Cao, Robin Algayres, Lucas Ondel, Laurent Besacier, Sakriani Sakti, and Emmanuel Dupoux. 2020 · 2020
Later among the works it cites.
Understanding and improving word embeddings through a neuroscientific lens
Sam Fereidooni, Viola Mocz, Dragomir Radev, and Marvin Chun. 2020 · 2020
Later among the works it cites.
Learning hierarchical discrete linguistic units from visually-grounded speech
David Harwath, Wei-Ning Hsu, and James R. Glass. 2020a · 2020
Later among the works it cites.
Textual Supervision for Visually Grounded Spoken Language Understanding
Bertrand Higy, Desmond Elliott, and Grzegorz Chrupała. 2020 · 2020
Later among the works it cites.
Information-theoretic probing for linguistic structure
Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, and Ryan Cotterell. 2020 · 2020
Later among the works it cites.
Grzegorz Chrupała. 2021 · 2021
Closest in time.
Cross-Modal Discrete Representation Learning
Alexander H. Liu, SouYoung Jin, Cheng-I. Jeff Lai, Andrew Rouditchenko, Aude Oliva, and James Glass. 2021 · 2021
Closest in time.
Unsupervised Speech Representation Learning Using WaveNet Autoencoders
Jan Chorowski, Ron J. Weiss, Samy Bengio, and Aäron van den Oord. 2019 · 2053
Closest in time.