Aakanksha Naik

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Aakanksha Naik trusts overall

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

  1. Tomas Mikolov
  2. Ido Dagan
  3. Yoshua Bengio
  4. George A. Miller
  5. Geoffrey E. Hinton
  6. Yorick Wilks
  7. Christopher D. Manning
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Bernardo Magnini

Who trusts Aakanksha Naik overall

  1. James Thorne
  2. Xiang Zhou
  3. Eric Wallace
  4. Abhilasha Ravichander
  5. Rodrigo Nogueira
  6. Adina Williams
  7. Andreas Vlachos
  8. Matt Gardner
  9. Yixin Nie
  10. Tongshuang Sherry Wu

Papers from Aakanksha Naik's perspective

Ordered by how strongly the researchers Aakanksha Naik 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. 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. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers