Moshe Looks

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Moshe Looks trusts overall

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

  1. John Hughes
  2. Kai Sheng Tai
  3. Richard Socher
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Christopher D. Manning
  8. Ilya Sutskever
  9. Dzmitry Bahdanau
  10. Ronan Collobert

Who trusts Moshe Looks overall

  1. Xiaodan Liang
  2. Alec Radford
  3. Yu Su
  4. Pin Gao
  5. Liang-Chih Yu
  6. Daniel Huang
  7. Ilya Sutskever
  8. Rafal Józefowicz
  9. Hongfei Zhou
  10. Prafulla Dhariwal

Papers from Moshe Looks's perspective

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

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

Their papers