Our paper "Training Very Deep Networks" (NIPS 2015) is currently in the Appendix section since it has <200 citations. I propose that it should be moved to the main list.
Details:
This paper is an extension of "Highway Networks" which appeared earlier at ICML DL workshop 2015. This is noted in the PDF: https://arxiv.org/pdf/1505.00387.pdf
Many authors prefer to cite the earliest paper, while others cite the NIPS version. There are some duplicates, but together these papers have over 300 citations as shown here:
Additionally, this paper has had wide impact: it is a predecessor of residual networks, demonstrates the relation between deep feedforward networks and LSTM networks, and is used in leading models for language modeling, NMT, speech recognition and generation etc. Therefore, I propose that it is reasonable to include this paper in the main list, as done in this PR.
Our paper "Training Very Deep Networks" (NIPS 2015) is currently in the Appendix section since it has <200 citations. I propose that it should be moved to the main list.
Details: This paper is an extension of "Highway Networks" which appeared earlier at ICML DL workshop 2015. This is noted in the PDF: https://arxiv.org/pdf/1505.00387.pdf
Many authors prefer to cite the earliest paper, while others cite the NIPS version. There are some duplicates, but together these papers have over 300 citations as shown here:
Additionally, this paper has had wide impact: it is a predecessor of residual networks, demonstrates the relation between deep feedforward networks and LSTM networks, and is used in leading models for language modeling, NMT, speech recognition and generation etc. Therefore, I propose that it is reasonable to include this paper in the main list, as done in this PR.