Akshay Smit

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Akshay Smit trusts overall

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

  1. Yifan Peng
  2. Geoffrey E. Hinton
  3. Olivier Bodenreider
  4. Tomas Mikolov
  5. Bradley Efron
  6. Jeffrey Pennington
  7. Jacob Devlin
  8. Ilya Sutskever
  9. Xiaosong Wang
  10. Alexander J. Ratner

Who trusts Akshay Smit overall

  1. Pranav Rajpurkar
  2. Angela Zhang
  3. Yasuhide Miura
  4. Shruthi Bannur
  5. Benedikt Boecking

Papers from Akshay Smit's perspective

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

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

Their papers