Edresson Casanova

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 5 papers; trusts 63 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Edresson Casanova trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Wei Ping
  5. Jimmy Ba
  6. Kyunghyun Cho
  7. Alex Graves
  8. Alex Krizhevsky
  9. Dzmitry Bahdanau
  10. Ilya Sutskever

Who trusts Edresson Casanova overall

  1. Cong Han
  2. Matt Le
  3. Nima Mesgarani
  4. Alexander H. Liu
  5. Kai Shen
  6. Ziyue Jiang
  7. Xu Tan
  8. Sanyuan Chen
  9. Zhijun Liu
  10. Apoorv Vyas

Papers from Edresson Casanova's perspective

Ordered by how strongly the researchers Edresson Casanova 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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