Preksha Nema

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 74 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Preksha Nema trusts overall

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

  1. Chris Callison-Burch
  2. Chin-Yew Lin
  3. M. McHugh
  4. Yoshua Bengio
  5. Alon Lavie
  6. Geoffrey E. Hinton
  7. Edward Loper
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Preksha Nema overall

  1. Shiyue Zhang
  2. Asli Celikyilmaz
  3. Ananya B. Sai
  4. Mohit Bansal
  5. Patrick Lewis
  6. Elizabeth Clark
  7. Tanay Dixit
  8. Juri Opitz
  9. Jianfeng Gao
  10. Ethan Perez

Papers from Preksha Nema's perspective

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

Their papers