Peter Welinder

Artificial Intelligence · with Chen · 2017–2024

A researcher in the Science corpus: 11 papers; trusts 81 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Welinder trusts overall

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

  1. Diederik P. Kingma
  2. E. Todorov
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Richard S. Sutton
  6. Sergey Levine
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. J. Urgen Schmidhuber
  10. Jimmy Ba

Who trusts Peter Welinder overall

  1. Sergey I. Nikolenko
  2. Sergey Levine
  3. Marcin Andrychowicz
  4. OpenAI
  5. Michael Janner
  6. Ashvin Nair
  7. Corey Lynch
  8. Hsiao-Yu Fish Tung
  9. Vitchyr H. Pong
  10. Cédric Colas

Papers from Peter Welinder's perspective

Ordered by how strongly the researchers Peter Welinder 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Et al
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers