Apoorv Agarwal

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Apoorv Agarwal trusts overall

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

  1. Peter D. Turney
  2. Michael Gamon
  3. Alec Go
  4. Alessandro Moschitti
  5. Bo Pang
  6. Daniel Klein
  7. Minqing Hu
  8. Soo-Min Kim
  9. Stanley Wasserman
  10. David M. Blei

Who trusts Apoorv Agarwal overall

  1. Hassan Saif
  2. Saif M. Mohammad
  3. Duy-Tin Vo
  4. Anastasia Giahanou
  5. Vishal. A. Kharde
  6. Maarten Sap
  7. Akshita Jha
  8. Yulan He
  9. Hannah Rashkin
  10. Rui Xia

Papers from Apoorv Agarwal's perspective

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

Their papers