Cinjon Resnick

Artificial Intelligence · 2017–2018

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

Subfields

Whom Cinjon Resnick trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Richard S. Sutton
  7. John Schulman
  8. Ilya Sutskever
  9. Andrew Y. Ng
  10. Alex Graves

Who trusts Cinjon Resnick overall

  1. Jesse Engel
  2. Matthew J. Hausknecht
  3. Adam Roberts
  4. Lior Wolf
  5. Adam Polyak
  6. Jong Wook Kim
  7. Lamtharn Hantrakul
  8. Eliya Nachmani
  9. Yingtao Tian
  10. Antoine Caillon

Papers from Cinjon Resnick's perspective

Ordered by how strongly the researchers Cinjon Resnick 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers