Maayan Frid-Adar

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Maayan Frid-Adar trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alec Radford
  6. Kaiming He
  7. Yoshua Bengio
  8. L. V. D. van der Maaten
  9. Jimmy Ba
  10. Nitish Srivastava

Who trusts Maayan Frid-Adar overall

  1. Miaoyun Zhao
  2. Arvid Lundervold
  3. Sergey I. Nikolenko
  4. D. Malerba
  5. Fabio Tanaka
  6. Yulai Cong
  7. Huili Huang
  8. Qiang Wang
  9. Markus Bayer
  10. Xin Yi

Papers from Maayan Frid-Adar's perspective

Ordered by how strongly the researchers Maayan Frid-Adar 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers