Rajiv Bajpai

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Rajiv Bajpai trusts overall

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

  1. Erik Cambria
  2. Soujanya Poria
  3. Bo Pang
  4. Geoffrey E. Hinton
  5. Richard Socher
  6. Pavel Berkhin
  7. Roger C. Schank
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. George A. Miller

Who trusts Rajiv Bajpai overall

  1. Erik Cambria
  2. Soujanya Poria
  3. Devamanyu Hazarika
  4. Haiyun Peng
  5. Amir Zadeh
  6. Yukun Ma
  7. Ashima Yadav
  8. Minghai Chen

Papers from Rajiv Bajpai's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers