Varun Nair

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Varun Nair trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Kaiming He
  5. James Martens
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. L. Eon Bottou
  10. Alex Graves

Who trusts Varun Nair overall

  1. Yi-Lin Sung
  2. Jaemin Cho
  3. Tim Dettmers
  4. Zeyu Han
  5. Lingling Xu
  6. Mohit Bansal
  7. Zihao Fu
  8. Haokun Liu

Papers from Varun Nair's perspective

Ordered by how strongly the researchers Varun Nair 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. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers