Ananya Kumar

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 10 papers; trusts 367 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Ananya Kumar trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Kaiming He
  6. Ilya Sutskever
  7. Yann LeCun
  8. Dan Hendrycks
  9. Christian Szegedy
  10. Alex Graves

Who trusts Ananya Kumar overall

  1. Dan Hendrycks
  2. Robin Jia
  3. Sang Michael Xie
  4. Junnan Li
  5. Rebecca Roelofs
  6. Satyapriya Krishna
  7. David Widmann
  8. Fartash Faghri
  9. Di Feng
  10. Tengyu Ma

Papers from Ananya Kumar's perspective

Ordered by how strongly the researchers Ananya Kumar 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers