Adaptive Input Representations for Neural Language Modeling

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Adaptive Input Representations for Neural Language Modeling

28 September 2018

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Papers citing "Adaptive Input Representations for Neural Language Modeling"

19 / 269 papers shown

Title
One Epoch Is All You Need Aran Komatsuzaki 78 51 0 16 Jun 2019
Real or Fake? Learning to Discriminate Machine from Human Generated Text A. Bakhtin Sam Gross Myle Ott Yuntian Deng MarcÁurelio Ranzato Arthur Szlam DeLMO 103 173 0 07 Jun 2019
Scaling Autoregressive Video Models Dirk Weissenborn Oscar Täckström Jakob Uszkoreit DiffM VGen 115 204 0 06 Jun 2019
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model Alexander R. Fabbri Irene Li Tianwei She Suyi Li Dragomir R. Radev 108 590 0 04 Jun 2019
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future Hongyin Luo Lan Jiang Yonatan Belinkov James R. Glass 56 13 0 04 Jun 2019
Multimodal Transformer for Unaligned Multimodal Language Sequences Yao-Hung Hubert Tsai Shaojie Bai Paul Pu Liang J. Zico Kolter Louis-Philippe Morency Ruslan Salakhutdinov 103 1,319 0 01 Jun 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 105 322 0 31 May 2019
Instant Quantization of Neural Networks using Monte Carlo Methods Gonçalo Mordido Matthijs Van Keirsbilck A. Keller MQ 39 9 0 29 May 2019
Language Modeling with Deep Transformers Kazuki Irie Albert Zeyer Ralf Schluter Hermann Ney KELM 102 176 0 10 May 2019
Language Models with Transformers Chenguang Wang Mu Li Alex Smola 93 122 0 20 Apr 2019
Dynamic Evaluation of Transformer Language Models Ben Krause Emmanuel Kahembwe Iain Murray Steve Renals 95 43 0 17 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli VLM FaML 165 3,159 0 01 Apr 2019
Pre-trained Language Model Representations for Language Generation Sergey Edunov Alexei Baevski Michael Auli 92 130 0 22 Mar 2019
Cloze-driven Pretraining of Self-attention Networks Alexei Baevski Sergey Edunov Yinhan Liu Luke Zettlemoyer Michael Auli 52 198 0 19 Mar 2019
Tensorized Embedding Layers for Efficient Model Compression Oleksii Hrinchuk Valentin Khrulkov L. Mirvakhabova Elena Orlova Ivan Oseledets 91 73 0 30 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 275 3,756 0 09 Jan 2019
Extractive Summary as Discrete Latent Variables Aran Komatsuzaki 56 3 0 14 Nov 2018
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets Abhijit Mahalunkar John D. Kelleher 79 8 0 06 Oct 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 60 117 0 04 Jun 2018