Aishwarya Kamath

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 6 papers; trusts 711 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Aishwarya Kamath trusts overall

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

  1. Geoffrey E. Hinton
  2. Oriol Vinyals
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Kaiming He
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Percy Liang
  9. Ronald J. Williams
  10. Yann LeCun

Who trusts Aishwarya Kamath overall

  1. Jonas Pfeiffer
  2. Zhuang Li
  3. Andreas Ruckl'e
  4. Lizhen Qu
  5. Zhengyuan Yang
  6. B. Ermiş
  7. Ivan Vulic
  8. Iryna Gurevych
  9. Mohit Shridhar
  10. Rohit Girdhar

Papers from Aishwarya Kamath's perspective

Ordered by how strongly the researchers Aishwarya Kamath 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers