Ashima Yadav

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ashima Yadav trusts overall

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

  1. Soujanya Poria
  2. Erik Cambria
  3. Richard Socher
  4. Bing Liu
  5. Ronan Collobert
  6. Tomas Mikolov
  7. Geoffrey E. Hinton
  8. Bo Pang
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Ashima Yadav overall

  1. Margarita Rodríguez-Ibáñez
  2. Antonio Casañez-Ventura
  3. Mayur Wankhade
  4. Félix Castejón-Mateos

Papers from Ashima Yadav's perspective

Ordered by how strongly the researchers Ashima Yadav 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers