(CVPR 2017) Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Paper: http://www.linliang.net/files/CVPR17_LIP.pdf
Project: http://hcp.sysu.edu.cn/lip/index.php
Code: https://github.com/Engineering-Course/LIP_SSL

(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/

(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

(ICCV 2015) Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Paper: http://cseweb.ucsd.edu/~jmcauley/pdfs/iccv15.pdf
Supplement: https://goo.gl/OM1rAL
Code: https://vision.cornell.edu/se3/projects/clothing-style/