Yatin Nandwani

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yatin Nandwani trusts overall

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

  1. George A. Miller
  2. Johan Bos
  3. Dan Roth
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Oriol Vinyals
  9. Emily L. Denton
  10. Alexander M. Rush

Who trusts Yatin Nandwani overall

  1. Jose Gallego-Posada

Papers from Yatin Nandwani's perspective

Ordered by how strongly the researchers Yatin Nandwani 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers