Vishakh Padmakumar

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 8 papers; trusts 28 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Vishakh Padmakumar trusts overall

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

  1. Geoffrey E. Hinton
  2. Armen Aghajanyan
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Swaroop Mishra
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Jason Phang
  9. Yann LeCun
  10. Kaiming He

Who trusts Vishakh Padmakumar overall

  1. Tuhin Chakrabarty

Papers from Vishakh Padmakumar's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Long Short-Term Memory
  6. ImageNet classification with deep convolutional neural networks
  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