Abhijeet Awasthi

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abhijeet Awasthi trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Hwee Tou Ng
  4. Diederik P. Kingma
  5. Dzmitry Bahdanau
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Kyunghyun Cho
  9. Tao Ge
  10. Ronan Collobert

Who trusts Abhijeet Awasthi overall

  1. Felix Stahlberg
  2. Yu Wang
  3. Kostiantyn Omelianchuk
  4. Yu Wang
  5. Masahiro Kaneko
  6. Timo Schick
  7. Shankar Kumar
  8. Yuelin Wang

Papers from Abhijeet Awasthi's perspective

Ordered by how strongly the researchers Abhijeet Awasthi 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers