... | @@ -19,7 +19,7 @@ Venue: **INM-1 Seminar room**, building 15.9, room 4001b |
... | @@ -19,7 +19,7 @@ Venue: **INM-1 Seminar room**, building 15.9, room 4001b |
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https://arxiv.org/abs/1512.02595
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https://arxiv.org/abs/1512.02595
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* and, if needed, as background paper about deep recurrent networks:<br>
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* and, if needed, as background paper about deep recurrent networks:<br>
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Speech Recognition with Deep Recurrent Neural 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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Alex Graves, Abdel-rahman Mohamed, Geoffrey Hinton, 2013<br>
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https://arxiv.org/abs/1303.5778
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https://arxiv.org/abs/1303.5778
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## Monday 20 January 10-11:30am
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## Monday 20 January 10-11:30am
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... | @@ -71,23 +71,6 @@ Simple but effective for improving accuracy in regression tasks |
... | @@ -71,23 +71,6 @@ Simple but effective for improving accuracy in regression tasks |
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Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang, Brandeis and Microsoft <br> https://arxiv.org/abs/1811.07275<br>
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Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang, Brandeis and Microsoft <br> https://arxiv.org/abs/1811.07275<br>
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A training schedule using filter pruning and orthogonal reinitialization
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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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* Global Sparse Momentum SGD for Pruning Very Deep Neural Networks <br>
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https://arxiv.org/pdf/1909.12778v3.pdf
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* ==> Journal Club 20 January 2020
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... | @@ -96,4 +79,4 @@ https://arxiv.org/pdf/1909.12778v3.pdf |
... | @@ -96,4 +79,4 @@ https://arxiv.org/pdf/1909.12778v3.pdf |
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---
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---
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last change: 22.1.2020 sw |
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last change: 27.1.2020 sw |
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