Mohit Yadav

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohit Yadav trusts overall

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

  1. Richard Socher
  2. Diederik P. Kingma
  3. Christopher D. Manning
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Adina Williams
  7. Mitchell P. Marcus
  8. Jimmy Ba
  9. James K. Baker
  10. Matthew E. Peters

Papers from Mohit Yadav's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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