Ajay Nagesh

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 50 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ajay Nagesh trusts overall

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

  1. Philipp Koehn
  2. Geoffrey E. Hinton
  3. Kenneth Heafield
  4. Marcin Junczys-Dowmunt
  5. E. Tjong Kim Sang
  6. Yoshua Bengio
  7. Holger Schwenk
  8. Ilya Sutskever
  9. Tomas Mikolov
  10. Armand Joulin

Who trusts Ajay Nagesh overall

  1. Sarah Wiegreffe
  2. Chunting Zhou

Papers from Ajay Nagesh's perspective

Ordered by how strongly the researchers Ajay Nagesh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet classification with deep convolutional neural networks
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers