Joseph Palermo

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Palermo trusts overall

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

  1. Hado van Hasselt
  2. Tom Schaul
  3. David Saxton
  4. Ashish Vaswani
  5. Peter Henderson
  6. David Silver
  7. Geoffrey E. Hinton
  8. Richard S. Sutton
  9. Yoshua Bengio
  10. Arthur Guez

Papers from Joseph Palermo's perspective

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

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

Their papers