Naman Shukla

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 127 researchers here, as inferred from the citation graph.

Subfields

Whom Naman Shukla trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Individualized Treat
  4. Ilya Sutskever
  5. Nitish Srivastava
  6. Stanislau Semeniuta
  7. Phillip Isola
  8. Xudong Mao
  9. Yoshua Bengio
  10. Jinsung Yoon

Who trusts Naman Shukla overall

  1. Sagie Benaim
  2. Xuanyi Dong
  3. Yi Yang
  4. Hany Farid
  5. Luc Van Gool
  6. Chongyi Li
  7. Lior Wolf
  8. Ming-Yu Liu
  9. Yunjey Choi
  10. Yuhua Chen

Papers from Naman Shukla's perspective

Ordered by how strongly the researchers Naman Shukla 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. GENERATIVE ADVERSARIAL NETS
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Et al
  10. Learning Multiple Layers of Features from Tiny Images

Their papers