Vijay Keswani

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 306 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Vijay Keswani trusts overall

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

  1. Alex Kulesza
  2. Chin-Yew Lin
  3. David G. Lowe
  4. Karen Simonyan
  5. L. Elisa Celis
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Vijay Keswani overall

  1. L. Elisa Celis
  2. Lingxiao Huang
  3. Nisheeth K. Vishnoi

Papers from Vijay Keswani's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers