Aman Chadha

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 273 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aman Chadha trusts overall

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

  1. Kaiming He
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Shaoqing Ren

Who trusts Aman Chadha overall

  1. Antoine Yang
  2. Antoine Miech

Papers from Aman Chadha's perspective

Ordered by how strongly the researchers Aman Chadha 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers