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GANs / unsupervised

  • Composing graphical models with neural networks for structured representations and fast inference
  • IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
  • Wasserstein GAN
  • Text adaptive GAN: Manipulating images with natural language

Network design

Foundations / Philosophy


Graph networks

Optimization / training

Geometric deep learning

  • Geometric deep learning: going beyond Euclidean data-
  • Convolutional Neural Networks on Surfaces via Seamless Toric Covers
  • SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
  • Deriving Neural Architectures from Sequence and Graph Kernels
  • CayleyNets: Graph convolutional neural networks with complex rational spectral filters
  • Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
  • Geometric matrix completion with recurrent multi-graph neural networks
  • Neural Message Passing for Quantum Chemistry
  • Deep Learning on Lie Groups for Skeleton-based Action Recognition


  • Bayesian neural networks?
cs704r_w2019.txt · Last modified: 2019/01/07 12:05 by wingated