Mitchell A. Gordon

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 65 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Mitchell A. Gordon trusts overall

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

  1. Geoffrey E. Hinton
  2. Karen Simonyan
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Oriol Vinyals
  8. Yann LeCun
  9. Kaiming He
  10. Andrew Zisserman

Who trusts Mitchell A. Gordon overall

  1. Jianping Gou
  2. Hassan Sajjad
  3. Ibrahim M. Alabdulmohsin
  4. François Lagunas
  5. Giovanni Puccetti
  6. Jonathan S. Rosenfeld
  7. Kelechi Ogueji
  8. Anna Rogers
  9. Fahim Dalvi
  10. Tianyu Wu

Papers from Mitchell A. Gordon's perspective

Ordered by how strongly the researchers Mitchell A. Gordon 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers