Vikas Yadav

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 249 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Vikas Yadav trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Peter Clark
  6. Tomas Mikolov
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Oriol Vinyals
  10. Richard Socher

Who trusts Vikas Yadav overall

  1. Marco Valentino
  2. Mokanarangan Thayaparan
  3. Steven Bethard
  4. Xiaoman Pan
  5. Guy Rotman
  6. Markus Eberts
  7. Mihai Surdeanu
  8. André Freitas
  9. Jing Li
  10. Zhengzhong Liang

Papers from Vikas Yadav's perspective

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

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

Their papers