Mihaela Rosca

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 633 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Mihaela Rosca trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ian J. Goodfellow
  6. Christian Szegedy
  7. Shakir Mohamed
  8. Yann LeCun
  9. Alex Graves
  10. Kaiming He

Who trusts Mihaela Rosca overall

  1. Danilo Jimenez Rezende
  2. Yongjun Hong
  3. Eric T. Nalisnick
  4. Matthias Bauer
  5. Fabio Viola
  6. Gilles Louppe
  7. Adji Bousso Dieng
  8. Divya Saxena
  9. Aditya Grover
  10. Bernt Schiele

Papers from Mihaela Rosca's perspective

Ordered by how strongly the researchers Mihaela Rosca 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers