Mihail Eric

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 191 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Mihail Eric trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Oriol Vinyals
  6. Dzmitry Bahdanau
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. Matthew Henderson
  10. J. Urgen Schmidhuber

Who trusts Mihail Eric overall

  1. Andrea Madotto
  2. Chien-Sheng Wu
  3. Zhaojiang Lin
  4. Bing Liu
  5. Xiao Xu
  6. Li Zhou
  7. Jun Quan
  8. Min Yang
  9. Richard Socher
  10. Bowen Qin

Papers from Mihail Eric's perspective

Ordered by how strongly the researchers Mihail Eric 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers