Ryan Soklaski

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 5 papers; trusts 97 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Soklaski trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Yann LeCun
  10. X. Zhang

Who trusts Ryan Soklaski overall

  1. Jiayuan Mao
  2. Xihong Peng
  3. Q. Wei
  4. Drew A. Hudson
  5. Ben Zion Vatashsky
  6. Yichen Jiang

Papers from Ryan Soklaski's perspective

Ordered by how strongly the researchers Ryan Soklaski 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers