Aishwarya Padmakumar

Natural Language Processing · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aishwarya Padmakumar trusts overall

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

  1. Jesse Thomason
  2. Karen Simonyan
  3. Percy Liang
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Tomas Mikolov
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Jivko Sinapov

Who trusts Aishwarya Padmakumar overall

  1. Jesse Thomason

Papers from Aishwarya Padmakumar's perspective

Ordered by how strongly the researchers Aishwarya Padmakumar 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers