Delip Rao

Artificial Intelligence · 2009–2023

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Delip Rao trusts overall

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

  1. Dekang Lin
  2. Janyce Wiebe
  3. Thorsten Joachims
  4. Andrew McCallum
  5. Peter Christen
  6. Silviu Cucerzan
  7. Peter D. Turney
  8. Bo Pang
  9. Avrim Blum
  10. Xiaojin Zhu

Who trusts Delip Rao overall

  1. Dong Nguyen
  2. Lucie Flekova
  3. Daniel Preotiuc-Pietro
  4. Erik Cambria
  5. Svitlana Volkova
  6. Yohan Jo
  7. Jacob Eisenstein
  8. Shiliang Sun
  9. Verónica Pérez-Rosas
  10. Guanghui Qin

Papers from Delip Rao's perspective

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

Their papers