Add support for external bibtex files

2026-06-27 18:07:31 +08:00 · 2017-09-01 16:11:27 -07:00
parent 31982778f8
commit c69f39e25a
9 changed files with 162 additions and 144 deletions
@@ -5,7 +5,7 @@

  <d-front-matter>
    <script id='distill-front-matter' type="text/json">{
-      "title": "Demo Title Attention and Augmented Recurrent Neural Networks",
+      "title": "How to Use t-SNE Effectively",
      "published": "Jan 10, 2017",
      "authors": [
        {
@@ -34,7 +34,6 @@

 <body>
 <d-article>
-  <h1>How to Use t-SNE Effectively</h1>
  <h2>Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading.</h2>
  <d-byline></d-byline>
  <!-- <d-abstract>
@@ -124,109 +123,7 @@

  <d-footnote-list></d-footnote-list>

-  <d-bibliography><script type="text/bibtex">
-
-      @article{gregor2015draw,
-        title={DRAW: A recurrent neural network for image generation},
-        author={Gregor, Karol and Danihelka, Ivo and Graves, Alex and Rezende, Danilo Jimenez and Wierstra, Daan},
-        journal={arXiv preprint arXiv:1502.04623},
-        year={2015},
-        url ={https://arxiv.org/pdf/1502.04623.pdf}
-      }
-      @article{mercier2011humans,
-        title={Why do humans reason? Arguments for an argumentative theory},
-        author={Mercier, Hugo and Sperber, Dan},
-        journal={Behavioral and brain sciences},
-        volume={34},
-        number={02},
-        pages={57--74},
-        year={2011},
-        publisher={Cambridge Univ Press},
-        doi={10.1017/S0140525X10000968}
-      }
-
-      @article{dong2014image,
-        title={Image super-resolution using deep convolutional networks},
-        author={Dong, Chao and Loy, Chen Change and He, Kaiming and Tang, Xiaoou},
-        journal={arXiv preprint arXiv:1501.00092},
-        year={2014},
-        url={https://arxiv.org/pdf/1501.00092.pdf}
-      }
-
-      @article{dumoulin2016adversarially,
-        title={Adversarially Learned Inference},
-        author={Dumoulin, Vincent and Belghazi, Ishmael and Poole, Ben and Lamb, Alex and Arjovsky, Martin and Mastropietro, Olivier and Courville, Aaron},
-        journal={arXiv preprint arXiv:1606.00704},
-        year={2016},
-        url={https://arxiv.org/pdf/1606.00704.pdf}
-      }
-
-      @article{dumoulin2016guide,
-        title={A guide to convolution arithmetic for deep learning},
-        author={Dumoulin, Vincent and Visin, Francesco},
-        journal={arXiv preprint arXiv:1603.07285},
-        year={2016},
-        url={https://arxiv.org/pdf/1603.07285.pdf}
-      }
-
-      @article{gauthier2014conditional,
-        title={Conditional generative adversarial nets for convolutional face generation},
-        author={Gauthier, Jon},
-        journal={Class Project for Stanford CS231N: Convolutional Neural Networks for Visual Recognition, Winter semester},
-        volume={2014},
-        year={2014},
-        url={http://www.foldl.me/uploads/papers/tr-cgans.pdf}
-      }
-
-      @article{johnson2016perceptual,
-        title={Perceptual losses for real-time style transfer and super-resolution},
-        author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
-        journal={arXiv preprint arXiv:1603.08155},
-        year={2016},
-        url={https://arxiv.org/pdf/1603.08155.pdf}
-      }
-
-      @article{mordvintsev2015inceptionism,
-        title={Inceptionism: Going deeper into neural networks},
-        author={Mordvintsev, Alexander and Olah, Christopher and Tyka, Mike},
-        journal={Google Research Blog},
-        year={2015},
-        url={https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
-      }
-
-      @misc{mordvintsev2016deepdreaming,
-        title={DeepDreaming with TensorFlow},
-        author={Mordvintsev, Alexander},
-        year={2016},
-        url={https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb},
-      }
-
-      @article{radford2015unsupervised,
-        title={Unsupervised representation learning with deep convolutional generative adversarial networks},
-        author={Radford, Alec and Metz, Luke and Chintala, Soumith},
-        journal={arXiv preprint arXiv:1511.06434},
-        year={2015},
-        url={https://arxiv.org/pdf/1511.06434.pdf}
-      }
-
-      @inproceedings{salimans2016improved,
-        title={Improved techniques for training gans},
-        author={Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
-        booktitle={Advances in Neural Information Processing Systems},
-        pages={2226--2234},
-        year={2016},
-        url={https://arxiv.org/pdf/1606.03498.pdf}
-      }
-
-      @article{shi2016deconvolution,
-        title={Is the deconvolution layer the same as a convolutional layer?},
-        author={Shi, Wenzhe and Caballero, Jose and Theis, Lucas and Huszar, Ferenc and Aitken, Andrew and Ledig, Christian and Wang, Zehan},
-        journal={arXiv preprint arXiv:1609.07009},
-        year={2016},
-        url={https://arxiv.org/pdf/1609.07009.pdf}
-      }
-
-    </script></d-bibliography>
+  <d-bibliography src="bibliography.bib"></d-bibliography>

  <distill-appendix> </distill-appendix>

@@ -1,8 +1,9 @@
@article{gregor2015draw,
  title={DRAW: A recurrent neural network for image generation},
  author={Gregor, Karol and Danihelka, Ivo and Graves, Alex and Rezende, Danilo Jimenez and Wierstra, Daan},
-  journal={arXivreprint arXiv:1502.04623},
-  year={2015}
+  journal={arXiv preprint arXiv:1502.04623},
+  year={2015},
+  url ={https://arxiv.org/pdf/1502.04623.pdf}
 }
@article{mercier2011humans,
  title={Why do humans reason? Arguments for an argumentative theory},
@@ -12,5 +13,87 @@
  number={02},
  pages={57--74},
  year={2011},
-  publisher={Cambridge Univ Press}
+  publisher={Cambridge Univ Press},
+  doi={10.1017/S0140525X10000968}
+}
+
+@article{dong2014image,
+  title={Image super-resolution using deep convolutional networks},
+  author={Dong, Chao and Loy, Chen Change and He, Kaiming and Tang, Xiaoou},
+  journal={arXiv preprint arXiv:1501.00092},
+  year={2014},
+  url={https://arxiv.org/pdf/1501.00092.pdf}
+}
+
+@article{dumoulin2016adversarially,
+  title={Adversarially Learned Inference},
+  author={Dumoulin, Vincent and Belghazi, Ishmael and Poole, Ben and Lamb, Alex and Arjovsky, Martin and Mastropietro, Olivier and Courville, Aaron},
+  journal={arXiv preprint arXiv:1606.00704},
+  year={2016},
+  url={https://arxiv.org/pdf/1606.00704.pdf}
+}
+
+@article{dumoulin2016guide,
+  title={A guide to convolution arithmetic for deep learning},
+  author={Dumoulin, Vincent and Visin, Francesco},
+  journal={arXiv preprint arXiv:1603.07285},
+  year={2016},
+  url={https://arxiv.org/pdf/1603.07285.pdf}
+}
+
+@article{gauthier2014conditional,
+  title={Conditional generative adversarial nets for convolutional face generation},
+  author={Gauthier, Jon},
+  journal={Class Project for Stanford CS231N: Convolutional Neural Networks for Visual Recognition, Winter semester},
+  volume={2014},
+  year={2014},
+  url={http://www.foldl.me/uploads/papers/tr-cgans.pdf}
+}
+
+@article{johnson2016perceptual,
+  title={Perceptual losses for real-time style transfer and super-resolution},
+  author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
+  journal={arXiv preprint arXiv:1603.08155},
+  year={2016},
+  url={https://arxiv.org/pdf/1603.08155.pdf}
+}
+
+@article{mordvintsev2015inceptionism,
+  title={Inceptionism: Going deeper into neural networks},
+  author={Mordvintsev, Alexander and Olah, Christopher and Tyka, Mike},
+  journal={Google Research Blog},
+  year={2015},
+  url={https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
+}
+
+@misc{mordvintsev2016deepdreaming,
+  title={DeepDreaming with TensorFlow},
+  author={Mordvintsev, Alexander},
+  year={2016},
+  url={https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb},
+}
+
+@article{radford2015unsupervised,
+  title={Unsupervised representation learning with deep convolutional generative adversarial networks},
+  author={Radford, Alec and Metz, Luke and Chintala, Soumith},
+  journal={arXiv preprint arXiv:1511.06434},
+  year={2015},
+  url={https://arxiv.org/pdf/1511.06434.pdf}
+}
+
+@inproceedings{salimans2016improved,
+  title={Improved techniques for training gans},
+  author={Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
+  booktitle={Advances in Neural Information Processing Systems},
+  pages={2226--2234},
+  year={2016},
+  url={https://arxiv.org/pdf/1606.03498.pdf}
+}
+
+@article{shi2016deconvolution,
+  title={Is the deconvolution layer the same as a convolutional layer?},
+  author={Shi, Wenzhe and Caballero, Jose and Theis, Lucas and Huszar, Ferenc and Aitken, Andrew and Ledig, Christian and Wang, Zehan},
+  journal={arXiv preprint arXiv:1609.07009},
+  year={2016},
+  url={https://arxiv.org/pdf/1609.07009.pdf}
 }