Andrew Gibiansky

Artificial Intelligence · 2017

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Gibiansky trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Jimmy Ba
  7. Dzmitry Bahdanau
  8. Aäron van den Oord
  9. Alex Krizhevsky
  10. Kyunghyun Cho

Who trusts Andrew Gibiansky overall

  1. Xu Tan
  2. Wei Ping
  3. Eliya Nachmani
  4. Kainan Peng
  5. Lior Wolf
  6. Sercan Ö. Arik
  7. Yaniv Taigman
  8. Adam Polyak
  9. Edresson Casanova
  10. Stanislav Beliaev

Papers from Andrew Gibiansky's perspective

Ordered by how strongly the researchers Andrew Gibiansky 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers