Albert Gu

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 13 papers; trusts 404 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Albert Gu 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. Kaiming He
  6. Yann LeCun
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Sepp Hochreiter
  10. Alex Graves

Who trusts Albert Gu overall

  1. Tri Dao
  2. Ankit Gupta
  3. Jimmy Smith
  4. Antonio Orvieto
  5. Tian Zhou
  6. Juan Miguel Lopez Alcaraz
  7. Christopher R'e
  8. Daniel Y. Fu
  9. Sijie Zhao
  10. Karan Goel

Papers from Albert Gu's perspective

Ordered by how strongly the researchers Albert Gu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers