Nikunj Saunshi

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 6 papers; trusts 231 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nikunj Saunshi trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Tomas Mikolov
  6. Richard Socher
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Alec Radford
  10. Ruslan Salakhutdinov

Who trusts Nikunj Saunshi overall

  1. Timo Schick
  2. Dilin Wang
  3. Ziyi Yang

Papers from Nikunj Saunshi's perspective

Ordered by how strongly the researchers Nikunj Saunshi 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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