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Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

4 November 2016

Papers citing "Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling"

37 / 237 papers shown

Title
Differentially Private Distributed Learning for Language Modeling Tasks Vadim Popov Mikhail Kudinov Irina Piontkovskaya Petr Vytovtov A. Nevidomsky FedML 197 3 0 20 Dec 2017
A Flexible Approach to Automated RNN Architecture GenerationInternational Conference on Learning Representations (ICLR), 2017 Martin Schrimpf Stephen Merity James Bradbury R. Socher 102 16 0 20 Dec 2017
StrassenNets: Deep Learning with a Multiplication Budget Michael Tschannen Aran Khanna Anima Anandkumar 242 30 0 11 Dec 2017
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 524 1,527 0 05 Dec 2017
Slim Embedding Layers for Recurrent Neural Language Models Zhongliang Li Raymond Kulhanek Shaojun Wang Yunxin Zhao Shuang Wu KELM 148 23 0 27 Nov 2017
Learning Less-Overlapping Representations P. Xie Hongbao Zhang Eric Xing 131 3 0 25 Nov 2017
Unsupervised Document Embedding With CNNs Chundi Liu Shunan Zhao Anthony L. Caterini SSL 123 2 0 11 Nov 2017
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model Zhilin Yang Zihang Dai Ruslan Salakhutdinov William W. Cohen BDL 367 398 0 10 Nov 2017
Weighted Transformer Network for Machine Translation Karim Ahmed N. Keskar R. Socher 153 139 0 06 Nov 2017
Neural Language Modeling by Jointly Learning Syntax and Lexicon Songlin Yang Zhouhan Lin Chin-Wei Huang Aaron Courville 219 182 0 02 Nov 2017
Fraternal Dropout Konrad Zolna Devansh Arpit Dendi Suhubdy Yoshua Bengio 181 53 0 31 Oct 2017
Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding Shuai Tang Hailin Jin Chen Fang Zhaowen Wang V. D. Sa SSL 176 7 0 28 Oct 2017
Graph Convolutional Networks for Classification with a Structured Label Space Meihao Chen Zhuoru Lin Dong Wang GNN 136 16 0 12 Oct 2017
Low-Rank RNN Adaptation for Context-Aware Language Modeling Aaron Jaech Mari Ostendorf 144 25 0 06 Oct 2017
Improving Lexical Choice in Neural Machine Translation Toan Q. Nguyen David Chiang 199 87 0 03 Oct 2017
Input-to-Output Gate to Improve RNN Language Models Sho Takase Jun Suzuki Masaaki Nagata AI4CE 163 6 0 26 Sep 2017
Improving Language Modelling with Noise-contrastive estimation Farhana Ferdousi Liza M. Grzes 111 6 0 22 Sep 2017
Dynamic Evaluation of Neural Sequence Models Ben Krause Emmanuel Kahembwe Iain Murray Steve Renals 240 142 0 21 Sep 2017
Neural Optimizer Search with Reinforcement Learning Irwan Bello Barret Zoph Vijay Vasudevan Quoc V. Le ODL 194 400 0 21 Sep 2017
Simple Recurrent Units for Highly Parallelizable Recurrence Tao Lei Yu Zhang Sida I. Wang Huijing Dai Yoav Artzi LRM 462 294 0 08 Sep 2017
Early Improving Recurrent Elastic Highway Network Hyunsin Park Chang D. Yoo 74 5 0 14 Aug 2017
Regularizing and Optimizing LSTM Language ModelsInternational Conference on Learning Representations (ICLR), 2017 Stephen Merity N. Keskar R. Socher 315 1,139 0 07 Aug 2017
Revisiting Activation Regularization for Language RNNs Stephen Merity Bryan McCann R. Socher 156 44 0 03 Aug 2017
Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks Fréderic Godin Jonas Degrave J. Dambre W. D. Neve MU 115 48 0 25 Jul 2017
Improving Language Modeling using Densely Connected Recurrent Neural Networks Fréderic Godin J. Dambre W. D. Neve PINN 99 6 0 19 Jul 2017
On the State of the Art of Evaluation in Neural Language Models Gábor Melis Chris Dyer Phil Blunsom 271 545 0 18 Jul 2017
LIUM Machine Translation Systems for WMT17 News Translation Task Mercedes García-Martínez Ozan Caglayan Walid Aransa Adrien Bardet Fethi Bougares Loïc Barrault 114 15 0 14 Jul 2017
An Embedded Deep Learning based Word Prediction Seunghak Yu Nilesh Kulkarni Haejun Lee J. Kim 97 0 0 06 Jul 2017
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation SystemsPrague Bulletin of Mathematical Linguistics (PBML), 2017 Ozan Caglayan Mercedes García-Martínez Adrien Bardet Walid Aransa Fethi Bougares Loïc Barrault 159 65 0 01 Jun 2017
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 434 1,618 0 11 May 2017
Improving Context Aware Language Models Aaron Jaech Mari Ostendorf 93 3 0 21 Apr 2017
Nematus: a Toolkit for Neural Machine Translation Rico Sennrich Orhan Firat Dong Wang Alexandra Birch Barry Haddow ... Marcin Junczys-Dowmunt Samuel Läubli Antonio Valerio Miceli Barone Jozef Mokry Maria Nadejde 118 407 0 13 Mar 2017
Neural Machine Translation with Source-Side Latent Graph ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2017 Kazuma Hashimoto Yoshimasa Tsuruoka BDL 181 48 0 08 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 1.1K 5,675 0 05 Nov 2016
Multiplicative LSTM for sequence modelling Ben Krause Liang Lu Iain Murray Steve Renals 313 216 0 26 Sep 2016
Using the Output Embedding to Improve Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2016 Ofir Press Lior Wolf 279 765 0 20 Aug 2016
Recurrent Highway NetworksInternational Conference on Machine Learning (ICML), 2016 J. Zilly R. Srivastava Jan Koutník Jürgen Schmidhuber 443 428 0 12 Jul 2016