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Armand Joulin

◀ ▶ joint publications with Tomas Mikolov

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Publications

2018
[i23]
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  - journals/corr/abs-1802-02892
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Douwe Kiela, Edouard Grave, Armand Joulin, Tomas Mikolov:
Efficient Large-Scale Multi-Modal Classification. CoRR abs/1802.02892 (2018)
[i22]
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  - journals/corr/abs-1802-06893
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Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomas Mikolov:
Learning Word Vectors for 157 Languages. CoRR abs/1802.06893 (2018)
2017
[j1]
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  - journals/tacl/BojanowskiGJM17
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Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov:
Enriching Word Vectors with Subword Information. TACL 5: 135-146 (2017)
[c22]
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  - conf/eacl/GraveMJB17
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Edouard Grave, Tomas Mikolov, Armand Joulin, Piotr Bojanowski:
Bag of Tricks for Efficient Text Classification. EACL (2) 2017: 427-431
[i21]
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  - journals/corr/BaroniJJKLSM17
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Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov:
CommAI: Evaluating the first steps towards a useful general AI. CoRR abs/1701.08954 (2017)
[i18]
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  - journals/corr/abs-1710-10881
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Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomas Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. CoRR abs/1710.10881 (2017)
[i16]
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  - journals/corr/abs-1712-09405
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Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin:
Advances in Pre-Training Distributed Word Representations. CoRR abs/1712.09405 (2017)
2016
[c17]
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  - conf/cicling/MikolovJB16
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Tomas Mikolov, Armand Joulin, Marco Baroni:
A Roadmap Towards Machine Intelligence. CICLing (1) 2016: 29-61
[c14]
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  - conf/icml/ZarembaMJF16
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Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus:
Learning Simple Algorithms from Examples. ICML 2016: 421-429
[i14]
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  - journals/corr/JoulinGBM16
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Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov:
Bag of Tricks for Efficient Text Classification. CoRR abs/1607.01759 (2016)
[i13]
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  - journals/corr/BojanowskiGJM16
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Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov:
Enriching Word Vectors with Subword Information. CoRR abs/1607.04606 (2016)
[i11]
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  - journals/corr/JerniteGJM16
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Yacine Jernite, Edouard Grave, Armand Joulin, Tomas Mikolov:
Variable Computation in Recurrent Neural Networks. CoRR abs/1611.06188 (2016)
[i10]
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  - journals/corr/JoulinGBDJM16
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Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomas Mikolov:
FastText.zip: Compressing text classification models. CoRR abs/1612.03651 (2016)
2015
[c13]
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  - conf/nips/JoulinM15
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Armand Joulin, Tomas Mikolov:
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. NIPS 2015: 190-198
[i7]
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Armand Joulin, Tomas Mikolov:
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets. CoRR abs/1503.01007 (2015)
[i5]
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Piotr Bojanowski, Armand Joulin, Tomas Mikolov:
Alternative structures for character-level RNNs. CoRR abs/1511.06303 (2015)
[i4]
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  - journals/corr/ZarembaMJF15
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Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus:
Learning Simple Algorithms from Examples. CoRR abs/1511.07275 (2015)
[i3]
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  - journals/corr/MikolovJB15
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Tomas Mikolov, Armand Joulin, Marco Baroni:
A Roadmap towards Machine Intelligence. CoRR abs/1511.08130 (2015)
2014
[i1]
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  - journals/corr/MikolovJCMR14
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Tomas Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato:
Learning Longer Memory in Recurrent Neural Networks. CoRR abs/1412.7753 (2014)

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