Nandan Thakur

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nandan Thakur trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Jacob Devlin
  4. Diederik P. Kingma
  5. Rodrigo Nogueira
  6. Sergey Ioffe
  7. Ilya Sutskever
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Kyunghyun Cho

Who trusts Nandan Thakur overall

  1. Niklas Muennighoff
  2. Liang Wang
  3. Wayne Xin Zhao
  4. Shitao Xiao
  5. Luyu Gao
  6. Xueguang Ma
  7. Robin Jia
  8. John X. Morris
  9. Patrick Lewis
  10. Bohan Li

Papers from Nandan Thakur's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers