Deep Learning In The Brain. #BigData #DeepLearning #MachineLearning #DataScience #AI #NeuroScience
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Learning to see through fog by synthetically adding fog to regular data. Evaluates on real foggy data. Useful in SF. https://arxiv.org/abs/1708.07819
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Neural network trained to rate how much pain someone is in just by looking at their face could
http://ow.ly/PfIw30eRLbD article:https://arxiv.org/abs/1708.04670
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ohai a machine learning system that can identify ~69% of protesters who are wearing caps AND scarfs to cover their face. Article: http://goo.gl/3nCuWU
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Machine Learning with TensorFlow (GDD Europe '17) https://buff.ly/2gGPKLr In this video, Andrew Gasparovic gives you an introduction to TensorFlow and goes through new things that have been developed
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BAIR blog post on our new NIPS paper on deep multi-view stereo. Check out how to train your stereo machine
http://bair.berkeley.edu/blog/2017/09/05/unified-3d/
Article:https://arxiv.org/abs/1708.05375
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Adversarial Discriminative Domain Adaptation" CVPR2017: combines discriminative modeling, weight sharing & GAN loss https://arxiv.org/abs/1702.05464
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Interesting blog post by Giorgio Patrini from University of Amsterdam about learning from unlabeled data and self http://fb.me/29GRl8Pwz
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108-page survey paper/book on Deep Learning Techniques for Music Generation. https://arxiv.org/abs/1709.01620
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Best Paper award #EMNLP2017 idea: reduce gender bias in visual recognition problems by using Lagrangian relaxation https://arxiv.org/abs/1707.09457
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Videos are now available for the 2017 Deep Learning (and RL) Summer Schools in Montreal http://videolectures.net/deeplearning2017_montreal/
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Deep Learning In The Brain. #BigData #DeepLearning #MachineLearning #DataScience #AI #NeuroScience
https://buff.ly/2vuFkZy
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Learning to see through fog by synthetically adding fog to regular data. Evaluates on real foggy data. Useful in SF. https://arxiv.org/abs/1708.07819
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Neural network trained to rate how much pain someone is in just by looking at their face could
http://ow.ly/PfIw30eRLbD article:https://arxiv.org/abs/1708.04670
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Machine Learning with TensorFlow (GDD Europe '17) https://buff.ly/2gGPKLr In this video, Andrew Gasparovic gives you an introduction to TensorFlow and goes through new things that have been developed
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BAIR blog post on our new NIPS paper on deep multi-view stereo. Check out how to train your stereo machine
http://bair.berkeley.edu/blog/2017/09/05/unified-3d/
Article:https://arxiv.org/abs/1708.05375
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Interesting blog post by Giorgio Patrini from University of Amsterdam about learning from unlabeled data and self http://fb.me/29GRl8Pwz
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Understanding Black-box Predictions via Influence Functions #ICML2017 best paper http://goo.gl/Buk3Cx
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Best Paper award #EMNLP2017 idea: reduce gender bias in visual recognition problems by using Lagrangian relaxation https://arxiv.org/abs/1707.09457
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108-page survey paper/book on Deep Learning Techniques for Music Generation. https://arxiv.org/abs/1709.01620
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