Who cites «A Fast and Simple Algorithm for Training Neural Probabilistic Language Models»
- Efficient Estimation of Word Representations in Vector SpacearXiv:1301.3781Tomas Mikolov, Kai Chen, Greg Corrado, et al.2013 · 28,759 citations
- Distributed Representations of Words and Phrases and their CompositionalityarXiv:1310.4546Tomas Mikolov, Ilya Sutskever, Kai Chen, et al.2013 · 21,623 citations
- Representation Learning with Contrastive Predictive CodingarXiv:1807.03748Aaron van den Oord, Yazhe Li, Oriol Vinyals2018 · 7,022 citations
- From Captions to Visual Concepts and BackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHao Fang, Saurabh Gupta, Forrest Iandola, et al.2014 · 1,450 citations
- Using the Output Embedding to Improve Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ofir Press, Lior Wolf2017 · 909 citations
- Improving Lexical Embeddings with Semantic KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Mo Yu, Mark Dredze2014 · 371 citations
- Decoding with Large-Scale Neural Language Models Improves TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Ashish Vaswani, Yinggong Zhao, Victoria Fossum, et al.2013 · 318 citations
- Efficient softmax approximation for GPUsarXiv:1609.04309Edouard Grave, Armand Joulin, Moustapha Cisse, et al.2016 · 205 citations
- A Neural Knowledge Language ModelarXiv:1608.00318Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, et al.2016 · 146 citations
- Scaling Deep Contrastive Learning Batch Size under Memory Limited SetupWorkshop on Representation Learning for NLPLuyu Gao, Yunyi Zhang, Jiawei Han, et al.2021 · 131 citations
- Online normalizer calculation for softmaxarXiv 2018 (NVIDIA)Maxim Milakov, Natalia Gimelshein2018 · 123 citations
- Probabilistic Modelling of Morphologically Rich LanguagesJan A. Botha2015 · 4 citations
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