... | ... | @@ -56,14 +56,6 @@ Code: https://github.com/TobyPDE/FRRN |
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* Deep High-Resolution Representation Learning for Visual Recognition, Wang et al. 2019<br>
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Paper: https://arxiv.org/abs/1908.07919<br>
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Code: https://paperswithcode.com/paper/deep-high-resolution-representation-learning-2
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* 20.1.2020 Martin Schultz<br>
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**Speech Recognition**
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* Deep Speech 2: End-to-End Speech Recognition in English and Mandarin, Amodei et al., 2015<br> https://arxiv.org/abs/1512.02595<br>
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According to my (brief) search, this seems to represent the state-of-the-art in speech recognition, discusses some topics, which are relevant for timeseries analysis, and also makes reference to good use of HPC.
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* Background paper about deep recurrent networks:<br>
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Speech Recognition with Deep Recurrent Neural Networks<br>
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Alex Graves, Abdel-rahman Mohamed, Geoffrey HintonGraves, 2013<br>
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https://arxiv.org/abs/1303.5778
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* ~~17.12.2019 Christian Schiffer~~<br>
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==> updated by 22.1.2020
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* ~~Deep High-Resolution Representation Learning for Visual Recognition <br>
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... | ... | @@ -80,7 +72,15 @@ Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang, Brandeis and Microsof |
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A training schedule using filter pruning and orthogonal reinitialization
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### Done
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* 20.1.2020 Martin Schultz<br>
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**Speech Recognition**
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* Deep Speech 2: End-to-End Speech Recognition in English and Mandarin, Amodei et al., 2015<br> https://arxiv.org/abs/1512.02595<br>
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According to my (brief) search, this seems to represent the state-of-the-art in speech recognition, discusses some topics, which are relevant for timeseries analysis, and also makes reference to good use of HPC.
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* Background paper about deep recurrent networks:<br>
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Speech Recognition with Deep Recurrent Neural Networks<br>
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Alex Graves, Abdel-rahman Mohamed, Geoffrey HintonGraves, 2013<br>
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https://arxiv.org/abs/1303.5778
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* ==> Journal Club 17 February 2020
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* 17.12.2019 Joshua Scheidt
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* Multi-Context Recurrent Neural Networks for Time Series Applications <br>
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https://publications.waset.org/3524/pdf
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