Megha Nawhal

Computer Vision and Pattern Recognition · 2019–2025

A researcher in the Science corpus: 4 papers; trusts 279 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Megha Nawhal trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Kaiming He
  8. Jimmy Ba
  9. Alex Graves
  10. Oriol Vinyals

Who trusts Megha Nawhal overall

  1. George Papamakarios
  2. Fei Ye
  3. Eric T. Nalisnick
  4. Mengyao Zhai

Papers from Megha Nawhal's perspective

Ordered by how strongly the researchers Megha Nawhal 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers