Papers citing 'Multiplicative LSTM for sequence modelling'

Title
Practical Text Classification With Large Pre-Trained Language Models Neel Kant Raul Puri Nikolai Yakovenko Bryan Catanzaro VLM 104 75 0 04 Dec 2018
Evaluating Text GANs as Language Models Guy Tevet Gavriel Habib Vered Shwartz Jonathan Berant EGVM 131 31 0 30 Oct 2018
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization Eric Chu Peter J. Liu 174 19 0 12 Oct 2018
Character-Level Language Modeling with Deeper Self-Attention Rami Al-Rfou Dokook Choe Noah Constant Mandy Guo Llion Jones 307 406 0 09 Aug 2018
MCRM: Mother Compact Recurrent Memory Abduallah A. Mohamed Christian G. Claudel 118 1 0 04 Aug 2018
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours Raul Puri Robert M. Kirby Nikolai Yakovenko Bryan Catanzaro 118 30 0 03 Aug 2018
Findings of the Second Workshop on Neural Machine Translation and Generation Alexandra Birch A. Finch Minh-Thang Luong Graham Neubig Yusuke Oda DRL 172 13 0 08 Jun 2018
Fast Neural Machine Translation Implementation Hieu D. Hoang Tomasz Dwojak Rihards Krislauks Daniel Torregrosa Kenneth Heafield 178 12 0 24 May 2018
ASR-based Features for Emotion Recognition: A Transfer Learning Approach Noé Tits Kevin El Haddad Thierry Dutoit 226 29 0 23 May 2018
Breaking the Activation Function Bottleneck through Adaptive Parameterization Sebastian Flennerhag Hujun Yin J. Keane Mark Elliot 165 12 0 22 May 2018
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks Chandrakant Bothe C. Weber S. Magg S. Wermter 161 41 0 16 May 2018
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks Chandrakant Bothe S. Magg C. Weber S. Wermter 194 17 0 16 May 2018
GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection Egor Lakomkin Chandrakant Bothe S. Wermter 79 19 0 30 Mar 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 428 607 0 30 Mar 2018
Combining Convolution and Recursive Neural Networks for Sentiment Analysis Vinh D. Van Thien Thai Minh-Quoc Nghiem 96 22 0 27 Jan 2018
Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes Cedric De Boom Thomas Demeester Bart Dhoedt 149 8 0 02 Jan 2018
Spatial PixelCNN: Generating Images from Patches Nader Akoury Anh Totti Nguyen 94 4 0 03 Dec 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning Zhen He Shaobing Gao Liang Xiao Daxue Liu Hangen He David Barber AIMat 248 65 0 05 Nov 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 168 7 0 28 Oct 2017
Edina: Building an Open Domain Socialbot with Self-dialogues Ben Krause Marco Damonte M. Dobre Daniel Duma Joachim Fainberg Federico Fancellu Emmanuel Kahembwe Jianpeng Cheng Bonnie Webber 159 44 0 28 Sep 2017
Dynamic Evaluation of Neural Sequence Models Ben Krause Emmanuel Kahembwe Iain Murray Steve Renals 220 142 0 21 Sep 2017
Shifting Mean Activation Towards Zero with Bipolar Activation Functions L. Eidnes Arild Nøkland 169 18 0 12 Sep 2017
Comparison of Decoding Strategies for CTC Acoustic ModelsInterspeech (Interspeech), 2017 Thomas Zenkel Ramon Sanabria Florian Metze Jan Niehues Matthias Sperber Sebastian Stüker A. Waibel 114 44 0 15 Aug 2017
Do Neural Nets Learn Statistical Laws behind Natural Language? Shuntaro Takahashi Kumiko Tanaka-Ishii 163 31 0 16 Jul 2017
Recurrent Additive Networks Kenton Lee Omer Levy Luke Zettlemoyer GNN AI4CE 176 38 0 21 May 2017
Learning to Generate Reviews and Discovering Sentiment Alec Radford Rafal Jozefowicz Ilya Sutskever 249 532 0 05 Apr 2017
Recurrent Highway NetworksInternational Conference on Machine Learning (ICML), 2016 J. Zilly R. Srivastava Jan Koutník Jürgen Schmidhuber 419 427 0 12 Jul 2016