(ICLR 2017) Learning to Remember Rare Events
Paper: https://openreview.net/pdf?id=SJTQLdqlg
Code: https://github.com/tensorflow/models/tree/master/learning_to_remember_rare_events
(ICLR 2017) Hypernetworks
Paper: https://openreview.net/pdf?id=rkpACe1lx
Code: https://github.com/hardmaru/supercell
Blog: http://blog.otoro.net/2016/09/28/hyper-networks/
(ICLR 2017) Optimization As a Model For Few-Shot Learning
Paper: https://openreview.net/pdf?id=rJY0-Kcll
Code: https://github.com/twitter/meta-learning-lstm
(NIPS 2016 Workshop) Semantic Segmentation using Adversarial Networks
Paper: https://arxiv.org/abs/1611.08408
Image-to-Image Translation Using Conditional Adversarial Networks
Paper: https://arxiv.org/pdf/1611.07004v1.pdf
Code: https://phillipi.github.io/pix2pix/
网站的评论功能使用多说（ http://duoshuo.com/ ）。
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简单介绍thu vpn各种使用方法。
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(NIPS 2016) Generating Images with Perceptual Similarity Metrics based on Deep Networks
Paper: http://lmb.informatik.uni-freiburg.de/Publications/2016/DB16c/inverting_GAN_nips2016_final.pdf
Supplement: http://lmb.informatik.uni-freiburg.de/Publications/2016/DB16c/inverting_GAN_nips2016_supp_final.pdf
Code: http://lmb.informatik.uni-freiburg.de/people/dosovits/code.html
(NIPS 2016) Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Paper: http://www.evolvingai.org/files/nguyen2016synthesizing.pdf
Code: https://github.com/Evolving-AI-Lab/synthesizing
(ICDM 2016) Learning Compatibility Across Categories for Heterogeneous Item Recommendation
Paper: https://cseweb.ucsd.edu/~jmcauley/pdfs/icdm16b.pdf
