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Learning representations that accurately capture long-range dependencies in sequential inputs -- including text, audio, and genomic data -- is a key problem in deep learning.
Distance measures for speech processing
Augustine Gray and John Markel · 1976
Earlier work this paper cites.
Finding structure in time
Jeffrey L Elman · 1990
Earlier work this paper cites.
Learning long-term dependencies with gradient descent is difficult
Yoshua Bengio, Patrice Simard, Paolo Frasconi, et al · 1994
Earlier work this paper cites.
Statistical recovery of wideband speech from narrowband speech
Yan Ming Cheng, Douglas O’Shaughnessy, and Paul Mermelstein · 1994
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Linear predictive coding
Jeremy Bradbury · 2000
Earlier work this paper cites.
Narrowband to wideband conversion of speech using gmm based transformation
Kun-Youl Park and Hyung Soon Kim · 2000
Earlier work this paper cites.
Applying lstm to time series predictable through time-window approaches
Felix A Gers, Douglas Eck, and Jürgen Schmidhuber · 2001
Earlier work this paper cites.
Bandwidth extension of audio signals by spectral band replication
Per Ekstrand · 2002
Earlier work this paper cites.
Speech bandwidth extension using gaussian mixture model-based estimation of the highband mel spectrum
Hannu Pulakka, Ulpu Remes, Kalle Palomäki, Mikko Kurimo, and Paavo Alku · 2011
Earlier work this paper cites.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Recurrent neural networks for noise reduction in robust asr
Andrew Maas, Quoc V. Le, Tyler M. ONeil, Oriol Vinyals, Patrick Nguyen, and Andrew Y. Ng · 2012
Earlier work this paper cites.
English multi-speaker corpus for cstr voice cloning toolkit, 2012
Junichi Yamagishi · 2012
Earlier work this paper cites.
Extensive variation in chromatin states across humans
Maya Kasowski, Sofia Kyriazopoulou-Panagiotopoulou, Fabian Grubert, Judith B Zaugg, Anshul Kundaje, Yuling Liu, Alan P Boyle, Qiangfeng Cliff Zhang, Fouad Zakharia, Damek V Spacek, Jingjing Li, Dan Xie, Anthony Olarerin-George, Lars M Steinmetz, John B Hogenesch, Manolis Kellis, Serafim Batzoglou, and Michael Snyder · 2013
Earlier work this paper cites.
Speech and Language Processing
D. Jurafsky, J.H. Martin, P. Norvig, and S. Russell · 2014
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
Earlier work this paper cites.
Whole-genome haplotyping using long reads and statistical methods
Volodymyr Kuleshov, Dan Xie, Rui Chen, Dmitry Pushkarev, Zhihai Ma, Tim Blauwkamp, Michael Kertesz, and Michael Snyder · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Predicting the sequence specificities of dna-and rna-binding proteins by deep learning
Babak Alipanahi, Andrew Delong, Matthew T Weirauch, and Brendan J Frey · 2015
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Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues
Jason Ernst and Manolis Kellis · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Dnn-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech
Kehuang Li, Zhen Huang, Yong Xu, and Chin-Hui Lee · 2015
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Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
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Modulating early visual processing by language
Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, and Aaron C. Courville · 2017
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin · 2017
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge J. Belongie · 2017
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Integrative analysis of 111 reference human epigenomes
Consortium Roadmap Epigenomics · 2015
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2015
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Jake Zhao, and Yann LeCun · 2015
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Very deep convolutional networks for natural language processing
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Gated-attention readers for text comprehension
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Image super-resolution using deep convolutional networks
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A learned representation for artistic style
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Deep pyramid convolutional neural networks for text categorization
Rie Johnson and Tong Zhang · 2017
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov · 2017
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Dynamic layer normalization for adaptive neural acoustic modeling in speech recognition
Taesup Kim, Inchul Song, and Yoshua Bengio · 2017
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A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio · 2017
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Film: Visual reasoning with a general conditioning layer
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, and Aaron C. Courville · 2017
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Generative and discriminative text classification with recurrent neural networks, 2017
Dani Yogatama, Chris Dyer, Wang Ling, and Phil Blunsom · 2017
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, and Yoshua Bengio · 2018
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Improved speech enhancement with the wave-u-net
Craig Macartney and Tillman Weyde · 2018
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Speech super-resolution using parallel wavenet
M. Wang, Z. Wu, S. Kang, X. Wu, J. Jia, D. Su, D. Yu, and H. Meng · 2018
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Densely connected cnn with multi-scale feature attention for text classification
Shiyao Wang, Minlie Huang, and Zhidong Deng · 2018
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How to fine-tune BERT for text classification?
Chi Sun, Xipeng Qiu, Yige Xu, and Xuanjing Huang · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le · 2019
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