Joris Cosentino

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joris Cosentino trusts overall

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

  1. Diederik P. Kingma
  2. Emmanuel Vincent
  3. Neil Zeghidour
  4. Yuzhou Liu
  5. Dong Yu
  6. John R. Hershey
  7. Jimmy Ba
  8. Yi Luo
  9. Vassil Panayotov
  10. Zhuo Chen

Who trusts Joris Cosentino overall

  1. Alexander H. Liu
  2. Xubo Liu
  3. Yihui Fu
  4. Shu-Wen Yang

Papers from Joris Cosentino's perspective

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

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

Their papers