Ramakrishna Vedantam

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 9 papers; trusts 1,136 researchers and is trusted by 5,491 researchers here, as inferred from the citation graph.

Subfields

Whom Ramakrishna Vedantam trusts overall

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

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

Who trusts Ramakrishna Vedantam overall

  1. Mohit Bansal
  2. Zhe Gan
  3. Peter Anderson
  4. Marcella Cornia
  5. Qi Wu
  6. Jiasen Lu
  7. Ramakanth Pasunuru
  8. Ting Yao
  9. Chunyuan Li
  10. Jiuxiang Gu

Papers from Ramakrishna Vedantam's perspective

Ordered by how strongly the researchers Ramakrishna Vedantam 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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