Aashi Jain

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aashi Jain trusts overall

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

  1. Philipp Koehn
  2. Jörg Tiedemann
  3. Geoffrey E. Hinton
  4. Yinfei Yang
  5. Yoshua Bengio
  6. Quoc V. Le
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Jacob Devlin
  10. Ilya Sutskever

Who trusts Aashi Jain overall

  1. Wenlong Huang

Papers from Aashi Jain's perspective

Ordered by how strongly the researchers Aashi Jain 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers