me_geneva: (Default)
2016-12-27 08:36 pm
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Named Entity Recognition using multilayered bidirectional LSTM
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me_geneva: (Geneva)
2016-11-23 12:48 am
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http://cvlab.epfl.ch/research/detect/lift
http://cvlab.epfl.ch/research/unmanned/synthetic
http://cvlab.epfl.ch/research/detect/deepdescriptorlearning
http://cvlabwww.epfl.ch/~lepetit/papers/trzcinski_nips12.pdf
https://arxiv.org/pdf/1607.08368.pdf
https://arxiv.org/pdf/1611.06587.pdf
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me_geneva: (Katie)
2016-10-19 06:34 pm
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Oxford VGGFace Implementation using Keras Functional Framework 1.1
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me_geneva: (Katie)
2016-09-26 11:14 pm
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Multiple View and Varying Illumination Dataset
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me_geneva: (Katie)
2016-09-23 02:37 am
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Learning local feature descriptors with triplets and shallow convolutional neural networks
https://github.com/vbalnt/tfeat
https://github.com/imodpasteur/lutorpy
https://github.com/torch/cutorch/issues/504
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me_geneva: (Katie)
2016-09-13 02:16 am
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AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
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me_geneva: (Katie)
2016-09-13 12:34 am
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Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
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me_geneva: (Katie)
2016-09-11 11:14 pm
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PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors
https://github.com/vbalnt/pnnet
https://github.com/hanxf/matchnet
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me_geneva: (Katie)
2016-08-29 09:11 pm
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<3

http://blog.kaggle.com/2016/08/29/from-kaggle-to-google-deepmind-an-interview-with-sander-dieleman/
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me_geneva: (Katie)
2016-08-26 06:42 pm
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https://infoscience.epfl.ch/record/200862/files/EPFL_TH6226.pdf
https://arxiv.org/pdf/1605.01224.pdf
https://www.robots.ox.ac.uk/…/det_eval_f…/matas_bmvc2002.pdf
http://www.robots.ox.ac.uk/~vgg/research/affine/
https://www.cs.ubc.ca/~lowe/papers/ijcv04.pdf
http://arxiv.org/abs/1504.06603
http://arxiv.org/abs/1411.4568
http://cvlabwww.epfl.ch/~trulls/pdf/eccv16-lift.pdf
http://www.cs.unc.edu/~xufeng/cs/papers/cvpr15-matchnet.pdf
http://download.visinf.tu-darmstadt.de/data/from_games/
https://www.conftool.pro/isprs2016/index.php/Chen-Invariant_descriptor_learning_using_a_Siamese_Convolutional_Neural_Network-668_a.pdf?page=downloadPaper&filename=Chen-Invariant_descriptor_learning_using_a_Siamese_Convolutional_Neural_Network-668_a.pdf&form_id=668&form_version=final
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me_geneva: (Katie)
2016-08-23 05:56 pm
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http://hi.cs.waseda.ac.jp/~esimo/en/research/deepdesc/
https://github.com/szagoruyko/cvpr15deepcompare
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me_geneva: (Katie)
2016-08-22 06:32 pm
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http://karpathy.github.io/2015/05/21/rnn-effectiveness/
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me_geneva: (Katie)
2016-08-06 08:19 pm
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CS224d: Deep Learning for Natural Language Processing
https://www.college-de-france.fr/site/en-yann-lecun/course-2016-04-01-11h00.htm
Reinforcement Learning: A Survey
ConvNetJS Deep Q Learning Demo
Andrew W. Moore Tutorials
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me_geneva: (Katie)
2016-07-27 04:50 pm
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https://github.com/HIPS/Spearmint
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me_geneva: (Katie)
2016-07-26 06:14 pm
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http://blog.kaggle.com/2016/07/11/from-kaggle-to-google-deepmind-an-interview-with-jeffrey-de-fauw/
https://github.com/JeffreyDF/kaggle_diabetic_retinopathy
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me_geneva: (Katie)
2016-07-19 05:31 pm
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  • it,
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http://www.wildml.com/
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me_geneva: (Katie)
2016-07-03 11:00 pm
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  • cnn,
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  • tutorials

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https://github.com/tencia
https://github.com/woshialex
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me_geneva: (Katie)
2016-07-03 02:02 am
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  • cnn,
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https://github.com/pradyu1993/segnet/blob/master/Segnet.ipynb
http://imlab.grid.by/data/articles/Lung_Segmentation_by_Convolutional_NN.pdf
https://docs.eyesopen.com/toolkits/python/graphsimtk/measure.html
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me_geneva: (Katie)
2016-06-01 03:26 pm
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http://sakva.net/python/ukraineparliamentvotingpatterns/
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