Corpus ID: 173990166

Discovering Neural Wirings

@inproceedings{Wortsman2019DiscoveringNW,
  title={Discovering Neural Wirings},
  author={Mitchell Wortsman and Ali Farhadi and M. Rastegari},
  booktitle={NeurIPS},
  year={2019}
}
  • Mitchell Wortsman, Ali Farhadi, M. Rastegari
  • Published in NeurIPS 2019
  • Computer Science
  • The success of neural networks has driven a shift in focus from feature engineering to architecture engineering. However, successful networks today are constructed using a small and manually defined set of building blocks. Even in methods of neural architecture search (NAS) the network connectivity patterns are largely constrained. In this work we propose a method for discovering neural wirings. We relax the typical notion of layers and instead enable channels to form connections independent of… CONTINUE READING
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    References

    SHOWING 1-10 OF 46 REFERENCES
    Exploring Randomly Wired Neural Networks for Image Recognition
    • 146
    • Highly Influential
    • PDF
    Neural Architecture Search with Reinforcement Learning
    • 2,066
    • PDF
    Learning Implicitly Recurrent CNNs Through Parameter Sharing
    • 16
    • PDF
    Densely Connected Convolutional Networks
    • 10,506
    • PDF
    Learning Sparse Networks Using Targeted Dropout
    • 22
    • PDF
    Learning Multiple Layers of Features from Tiny Images
    • 9,378
    • Highly Influential
    • PDF
    The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
    • 522
    • PDF
    Learning Sparse Neural Networks through L0 Regularization
    • 331
    • PDF