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Neural language models have been widely used in various NLP tasks, including machine translation, next word prediction and conversational agents.
Refinements to nearest-neighbor searching ink-dimensional trees
Robert F Sproull · 1991
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Building a large annotated corpus of english: the penn treebank
Mitchell P. Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini · 1993
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Approximate nearest neighbors: towards removing the curse of dimensionality
Piotr Indyk and Rajeev Motwani · 1998
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Hierarchical probabilistic neural network language model
Frederic Morin and Yoshua Bengio · 2005
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A fast and simple algorithm for training neural probabilistic language models
Andriy Mnih and Yee Whye Teh · 2012
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Engineering efficient and effective non-metric space library
Leonid Boytsov and Bilegsaikhan Naidan · 2013
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Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces
Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, and Ulrich Paquet · 2014
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Report on the 11th iwslt evaluation campaign, iwslt 2014
Mauro Cettolo, Jan Niehues, Sebastian Stüker, Luisa Bentivogli, and Marcello Federico · 2014
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On using very large target vocabulary for neural machine translation
Sébastien Jean, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio · 2014
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Approximate nearest neighbor algorithm based on navigable small world graphs
Yury Malkov, Alexander Ponomarenko, Andrey Logvinov, and Vladimir Krylov · 2014
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Asymmetric lsh (alsh) for sublinear time maximum inner product search (mips)
Anshumali Shrivastava and Ping Li · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Stanford neural machine translation systems for spoken language domain
Minh-Thang Luong and Christopher D. Manning · 2015
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On symmetric and asymmetric lshs for inner product search
Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, and Dan Jurafsky · 2016
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Efficient softmax approximation for gpus
Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, and Hervé Jégou · 2017
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Categorical reparametrization with gumble-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
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Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M Rush · 2017
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Svd-softmax: Fast softmax approximation on large vocabulary neural networks
Kyuhong Shim, Minjae Lee, Iksoo Choi, Yoonho Boo, and Wonyong Sung · 2017
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Behnam Neyshabur and Nathan Srebro · 2015
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston · 2015
Cited alongside, same era.
Quantization based fast inner product search
Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, and David Simcha · 2016
Cited alongside, same era.
Yu A Malkov and Dmitry A Yashunin
Cited in the paper.
Yury A. Malkov and D. A. Yashunin
Cited in the paper.
Multiscale quantization for fast similarity search
Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Sanjiv Kumar, Daniel N Holtmann-Rice, David Simcha, and Felix Yu · 2017
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A greedy approach for budgeted maximum inner product search
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, and Inderjit Dhillon · 2017
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Navigating with graph representations for fast and scalable decoding of neural language models
Minjia Zhang, Xiaodong Liu, Wenhan Wang, Jianfeng Gao, and Yuxiong He · 2018
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