My personal list of journals I use for my research and projects where I wrote one-sentence summaries.

Machine Learning Research Conferences and Journals

Deep Reinforcement Learning

Deep Convolutional Neural Networks

  • Wide Residual Networks
    • Summary: a variation of residual networks where width over depth has shown better performance
  • SqueezeNet
    • Summary: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Deep Neural Networks

Hyper-parameter Optimization

Deep Recurrent Neural Networks

  • HyperNetworks
    • Summary: using a small LSTM to generate a large LSTM for substantial model compression
  • Exploring Sparsity in RNN
    • Summary: model size can be reduced by 90% and speed-up is around 2× to 7× while maintain accuracy by pruning weights during the initial training of the network

Numerical Optimization