Monica Bianchini

Artificial Intelligence · 2001–2014

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Monica Bianchini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yoshua Bengio
  2. Olivier Delalleau
  3. Yann LeCun
  4. J. Håstad
  5. Ronny Lempel
  6. Geoffrey E. Hinton
  7. Andrew Y. Ng
  8. Alice X. Zheng
  9. Michael I. Jordan
  10. Alex Krizhevsky

Who trusts Monica Bianchini overall

  1. Alessio Micheli
  2. Paul Dwyer
  3. Amy Nicole Langville
  4. Shizhao Sun
  5. Hengshuai Yao
  6. Fabián Riquelme
  7. Barbara Hammer
  8. Nathan Nan Liu
  9. Brian Neil Levine
  10. Dmitry Yarotsky

Papers from Monica Bianchini's perspective

Ordered by how strongly the researchers Monica Bianchini trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers