Ashish Sharma

Artificial Intelligence · with Althoff · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ashish Sharma trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Jacob Devlin
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ashish Vaswani
  10. Alex Graves

Who trusts Ashish Sharma overall

  1. Inna Wanyin Lin
  2. Caleb Ziems
  3. Mai Elsherief
  4. Adam S. Miner
  5. William B. Held
  6. Tim Althoff
  7. David C. Atkins

Papers from Ashish Sharma's perspective

Ordered by how strongly the researchers Ashish Sharma 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  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