Ron Amit

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ron Amit trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Yann LeCun
  4. Andreas Maurer
  5. David A. McAllester
  6. Yoshua Bengio
  7. Anastasia Pentina
  8. Geoffrey E. Hinton
  9. Jonathan Baxter
  10. Max Welling

Who trusts Ron Amit overall

  1. Mikhail Khodak
  2. Yaqing Wang
  3. Samuel G. Müller
  4. Mingzhang Yin
  5. Shell Xu Hu
  6. Maria-Florina Balcan
  7. Pierre Alquier
  8. Quanming Yao
  9. Ameet Talwalkar
  10. George Tucker

Papers from Ron Amit's perspective

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

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

Their papers