Devesh Walawalkar

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 211 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Devesh Walawalkar trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Diederik P. Kingma

Who trusts Devesh Walawalkar overall

  1. Jianping Gou

Papers from Devesh Walawalkar's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers