... | ... | @@ -32,12 +32,9 @@ full paper and supplementary material available at https://hubert0527.github.io/ |
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## Archive paper proposals
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* 17.12.2019 Joshua Scheidt<br>
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* <span style="color:green"> Multi-Context Recurrent Neural Networks for Time Series Applications <br>
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https://publications.waset.org/3524/pdf</span>
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* <span style="color:green"> 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</span>
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### Open
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* 17.12.2019 Christian Schiffer
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* Deep High-Resolution Representation Learning for Visual Recognition <br>
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https://arxiv.org/abs/1908.07919, Code: https://paperswithcode.com/paper/deep-high-resolution-representation-learning-2)<br>
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... | ... | @@ -52,6 +49,14 @@ 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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A training schedule using filter pruning and orthogonal reinitialization
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### Done
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* 17.12.2019 Joshua Scheidt<br>
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* <span style="color:green"> Multi-Context Recurrent Neural Networks for Time Series Applications <br>
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https://publications.waset.org/3524/pdf</span>
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* <span style="color:green"> 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</span>
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... | ... | |