Neha Nayak Kennard

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Neha Nayak Kennard trusts overall

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

  1. Christopher D. Manning
  2. Bill MacCartney
  3. Peter Clark
  4. Tomas Mikolov
  5. Jeffrey Pennington
  6. Ronan Collobert
  7. Richard Socher
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Gabor Angeli

Who trusts Neha Nayak Kennard overall

  1. Stanislaw Jastrzebski
  2. Hu Xu
  3. Michal Konkol
  4. Amrith Krishna
  5. Damian Lesniak
  6. B. Liu
  7. Tomas Brychcin
  8. Yufei Feng
  9. Leon Weber
  10. Alexis Conneau

Papers from Neha Nayak Kennard's perspective

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

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

Their papers