Richard D. Lawrence

Artificial Intelligence · 2009–2013

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Richard D. Lawrence trusts overall

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

  1. Qiuhua Liu
  2. Sanjoy Dasgupta
  3. Kamal Nigam
  4. Robert E. Schapire
  5. Rie Kubota Ando
  6. Shibin Parameswaran
  7. Andreas Argyriou
  8. Xiaofei He
  9. Laurent Jacob
  10. Nitesh V. Chawla

Who trusts Richard D. Lawrence overall

  1. Burr Settles
  2. Xianchao Zhang
  3. Jihang Ye
  4. Mohammad Rostami

Papers from Richard D. Lawrence's perspective

Ordered by how strongly the researchers Richard D. Lawrence 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers