Alex Gu

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Gu trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Jia Deng
  7. Diederik P. Kingma
  8. Sylvestre-Alvise Rebuffi
  9. Stanislas Polu
  10. Kaiming He

Who trusts Alex Gu overall

  1. Lucas Caccia
  2. Yisheng Song
  3. Yichen Wu
  4. Haeyong Kang
  5. Joelle Pineau

Papers from Alex Gu's perspective

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

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

Their papers