Warren J. Gross

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Warren J. Gross trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alex Graves
  7. Ilya Sutskever
  8. Ido Tal
  9. L. Eon Bottou
  10. Jimmy Ba

Who trusts Warren J. Gross overall

  1. Andrés Camero
  2. Dimitrios Stamoulis
  3. Ermao Cai

Papers from Warren J. Gross's perspective

Ordered by how strongly the researchers Warren J. Gross trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers