Energy–entropy competition and the effectiveness of stochastic gradient descent in machine learning
Original
Yao Zhang, Andrew Saxe, Madhu Advani, and Alpha Lee. 2018 · 2018
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Don’t forget the long tail! A comprehensive analysis of morphological generalization in bilingual lexicon induction
Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, and Ann Copestake. 2019 · 2019
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A resource-free evaluation metric for cross-lingual word embeddings based on graph modularity
Yoshinari Fujinuma, Jordan Boyd-Graber, and Michael J. Paul. 2019 · 2019
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How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions
Goran Glavaš, Robert Litschko, Sebastian Ruder, and Ivan Vulić. 2019 · 2019
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Comparing unsupervised word translation methods step by step
Mareike Hartmann, Yova Kementchedjhieva, and Anders Søgaard. 2019 · 2019
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Lost in evaluation: Misleading benchmarks for bilingual dictionary induction
Yova Kementchedjhieva, Mareike Hartmann, and Anders Søgaard. 2019 · 2019
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Analyzing the limitations of cross-lingual word embedding mappings
Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, and Eneko Agirre. 2019 · 2019
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Bilingual lexicon induction with semi-supervision in non-isometric embedding spaces
Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, and Graham Neubig. 2019 · 2019
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Studying the inductive biases of RNNs with synthetic variations of natural languages
Shauli Ravfogel, Yoav Goldberg, and Tal Linzen. 2019 · 2019
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A survey of cross-lingual word embedding models
Original
Sebastian Ruder, Ivan Vulić, and Anders Søgaard. 2019 · 2019
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Do we really need fully unsupervised cross-lingual embeddings?
Ivan Vulić, Goran Glavaš, Roi Reichart, and Anna Korhonen. 2019 · 2019
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Are girls neko or shojo? Cross-lingual alignment of non-isomorphic embeddings with iterative normalization
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, and Jordan Boyd-Graber. 2019 · 2019
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Unsupervised cross-lingual representation learning at scale
Original
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Closest in time.
The secret is in the spectra: Predicting cross-lingual task performance with spectral similarity measures
Haim Dubossarsky, Ivan Vulić, Roi Reichart, and Anna Korhonen. 2020 · 2020
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Evaluation of word vector representations by subspace alignment
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample, and Chris Dyer. 2015 · 2054
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