Akhil M. Nair

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Akhil M. Nair trusts overall

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

  1. Dzmitry Bahdanau
  2. Shuohang Wang
  3. Christopher Clark
  4. Yoshua Bengio
  5. Caiming Xiong
  6. Geoffrey E. Hinton
  7. Sainbayar Sukhbaatar
  8. Kyunghyun Cho
  9. Minjoon Seo
  10. Pranav Rajpurkar

Who trusts Akhil M. Nair overall

  1. Minghao Hu
  2. Duo Chai
  3. Yuwei Fang
  4. Yuxing Peng
  5. Wei Wu
  6. Siqi Sun
  7. Xipeng Qiu
  8. Xiangyang Zhou

Papers from Akhil M. Nair's perspective

Ordered by how strongly the researchers Akhil M. Nair 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers