Navin Goyal

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 5 papers; trusts 59 researchers and is trusted by 91 researchers here, as inferred from the citation graph.

Subfields

Whom Navin Goyal trusts overall

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

  1. T. L. Lai Andherbertrobbins
  2. Malcolm J. A. Strens
  3. Emilie Kaufmann
  4. Shipra Agrawal
  5. Peter Auer
  6. Aurélien Garivier
  7. Sébastien Bubeck
  8. Steven L. Scott
  9. Jean-Yves Audibert
  10. Olivier Capp'e

Who trusts Navin Goyal overall

  1. Shipra Agrawal
  2. Daniel Russo
  3. Ian Osband
  4. Benjamin Van Roy
  5. Alberto Bietti
  6. Maria Dimakopoulou
  7. Aleksandrs Slivkins
  8. Emilie Kaufmann
  9. Aurélien Garivier
  10. Alekh Agarwal

Papers from Navin Goyal's perspective

Ordered by how strongly the researchers Navin Goyal 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. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers