Robert LiKamWa

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert LiKamWa trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Aravindh Mahendran
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Ilya Sutskever
  7. Koray Kavukcuoglu
  8. Andrea Vedaldi
  9. Yoshua Bengio
  10. Boris Murmann

Who trusts Robert LiKamWa overall

  1. Minsoo Rhu
  2. Renzo Andri
  3. Natalia Gimelshein
  4. Jason Clemons
  5. Vivienne Sze
  6. Lukas Cavigelli

Papers from Robert LiKamWa's perspective

Ordered by how strongly the researchers Robert LiKamWa 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. Going deeper with convolutions
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers