Nishant Prateek

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nishant Prateek trusts overall

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

  1. Dzmitry Bahdanau
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Kyunghyun Cho
  6. Tomas Mikolov
  7. Jaime Lorenzo-Trueba
  8. Alex Graves
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Nishant Prateek overall

  1. Zhaoxi Mu
  2. Xu Tan

Papers from Nishant Prateek's perspective

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

Their papers