Fetching the paper…
Reading the bibliography…
Although transfer learning has been shown to be successful for tasks like object and speech recognition, its applicability to question answering (QA) has yet to be well-studied.
Sphinx-4: A flexible open source framework for speech recognition
Willie Walker, Paul Lamere, Philip Kwok, Bhiksha Raj, Rita Singh, Evandro Gouvea, Peter Wolf, and Joe Woelfel. 2004 · 2004
Earlier work this paper cites.
Unsupervised speaker adaptation for telephone call transcription
R. Wallace, Thambiratnam K., and F. Seide. 2009 · 2009
Earlier work this paper cites.
Domain adaptation of rule-based annotators for named-entity recognition tasks
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Frederick Reiss, and Shivakumar Vaithyanathan. 2010 · 2010
Earlier work this paper cites.
Automatic domain adaptation for parsing
David McClosky, Eugene Charniak, and Mark Johnson. 2010 · 2010
Earlier work this paper cites.
A survey on transfer learning
Sinno Jialin Pan and Qiang Yang. 2010 · 2010
Earlier work this paper cites.
Constrained discriminative mapping transforms for unsupervised speaker adaptation
Langzhou Chen, Mark J. F. Gales, and K. K. Chin. 2011 · 2011
Earlier work this paper cites.
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers
Jui-Ting Huang, Jinyu Li, Dong Yu, Li Deng, and Yifan Gong. 2013 · 2013
Earlier work this paper cites.
Unsupervised domain adaptation for spoken document summarization with structured support vector machine
Hung-Yi Lee, Yu-Yu Chou, Yow-Bang Wang, and Lin-Shan Lee. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
MCTest: A challenge dataset for the open-domain machine comprehension of text
Matthew Richardson, Christopher J. C. Burges, and Erin Renshaw. 2013 · 2013
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
CNN features off-the-shelf: An astounding baseline for recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson. 2014 · 2014
Earlier work this paper cites.
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014 · 2014
Earlier work this paper cites.
VQA: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
Earlier work this paper cites.
Data-selective transfer learning for multi-domain speech recognition
Mortaza Doulaty, Oscar Saz, and Thomas Hain. 2015 · 2015
Earlier work this paper cites.
From captions to visual concepts and back
Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh K. Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C Platt, et al. 2015 · 2015
Cited alongside, same era.
Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Li Fei-Fei. 2015 · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al. 2015 · 2015
Cited alongside, same era.
End-to-end memory networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus. 2015 · 2015
Cited alongside, same era.
Machine comprehension with syntax, frames, and semantics
Hai Wang, Mohit Bansal, Kevin Gimpel, and David McAllester. 2015 · 2015
Cited alongside, same era.
WikiQA: A challenge dataset for open-domain question answering
Yi Yang, Wen-Tau Yih, and Christopher Meek. 2015 · 2015
Towards machine comprehension of spoken content: Initial TOEFL listening comprehension test by machine
Bo-Hsiang Tseng, Sheng-Syun Shen, Hung-Yi Lee, and Lin-Shan Lee. 2016 · 2016
Later among the works it cites.
Towards AI-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov. 2016 · 2016
Later among the works it cites.
Ask, attend and answer: Exploring question-guided spatial attention for visual question answering
Huijuan Xu and Kate Saenko. 2016 · 2016
Later among the works it cites.
Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola. 2016 · 2016
Later among the works it cites.
Learning word embeddings from speech
Yu-An Chung and James Glass. 2017 · 2017
Closest in time.
Two-stage synthesis networks for transfer learning in machine
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Audio word2vec: Unsupervised learning of audio segment representations using sequence-to-sequence autoencoder
Yu-An Chung, Chao-Chung Wu, Chia-Hao Shen, Hung-Yi Lee, and Lin-Shan Lee. 2016 · 2016
Cited alongside, same era.
Hierarchical attention model for improved machine comprehension of spoken content
Wei Fang, Juei-Yang Hsu, Hung-Yi Lee, and Lin-Shan Lee. 2016 · 2016
Cited alongside, same era.
Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach. 2016 · 2016
Cited alongside, same era.
From particular to general: A preliminary case study of transfer learning in reading comprehension
Rudolf Kadlec, Ondrej Bajgar, and Jan Kleindienst. 2016 · 2016
Cited alongside, same era.
How transferable are neural networks in nlp applications?
Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, and Zhi Jin. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
David Golub, Po-Sen Huang, Xiaodong He, and Li Deng. 2017 · 2017
Closest in time.
Query-based attention CNN for text similarity map
Tzu-Chien Liu, Yu-Hsueh Wu, and Hung-Yi Lee. 2017 · 2017
Closest in time.
Knowing when to look: Adaptive attention via a visual sentinel for image captioning
Jiasen Lu, Caiming Xiong, Devi Parikh, and Richard Socher. 2017 · 2017
Closest in time.
Question answering through transfer learning from large fine-grained supervision data
Sewon Min, Minjoon Seo, and Hannaneh Hajishirzi. 2017 · 2017
Closest in time.
NewsQA: A machine comprehension dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2017 · 2017
Closest in time.
Neural domain adaptation for biomedical question answering
Georg Wiese, Dirk Weissenborn, and Mariana Neves. 2017 · 2017
Closest in time.
Transfer learning for sequence tagging with hierarchical recurrent networks
Zhilin Yang, Ruslan Salakhutdinov, and William W. Cohen. 2017 · 2017
Closest in time.
Aspect-augmented adversarial networks for domain adaptation
Yuan Zhang, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
Closest in time.
Speech2vec: A sequence-to-sequence framework for learning word embeddings from speech
Yu-An Chung and James Glass. 2018 · 2018
Closest in time.