Bhargav Upadhyay

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Bhargav Upadhyay trusts overall

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

  1. Ronald J. Williams
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jacob Devlin
  5. Oriol Vinyals
  6. Ilya Sutskever
  7. Ruslan Salakhutdinov
  8. Diederik P. Kingma
  9. Amir Globerson
  10. Alex Krizhevsky

Who trusts Bhargav Upadhyay overall

  1. Alisa Liu
  2. Kalpesh Krishna
  3. Zhiqiang Hu
  4. Peng Xu
  5. Divyansh Kaushik
  6. Ximing Lu
  7. Parker Riley
  8. Amrith Rajagopal Setlur
  9. Yiwei Lyu

Papers from Bhargav Upadhyay's perspective

Ordered by how strongly the researchers Bhargav Upadhyay 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. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers