Niket Agarwal

Artificial Intelligence · 2009–2022

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Niket Agarwal trusts overall

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

  1. Li-Shiuan Peh
  2. Changkyu Kim
  3. Todd M. Austin
  4. Hangsheng Wang
  5. Chrysostomos Nicopoulos
  6. Alex Krizhevsky
  7. Sebastian Ruder
  8. Doug Burger
  9. Xinping Zhu

Who trusts Niket Agarwal overall

  1. Chen Sun

Papers from Niket Agarwal's perspective

Ordered by how strongly the researchers Niket 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: A large-scale hierarchical image database
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. ImageNet classification with deep convolutional neural networks
  6. In-datacenter performance analysis of a tensor processing unit
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. TensorFlow: A system for large-scale machine learning
  10. Deep Neural Networks for YouTube Recommendations

Their papers