Wei Wei

Artificial Intelligence · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wei trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Alex Graves
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Tomas Mikolov
  8. Ruslan Salakhutdinov
  9. Sepp Hochreiter
  10. Yann LeCun

Who trusts Wei Wei overall

  1. Carl Yang

Papers from Wei Wei's perspective

Ordered by how strongly the researchers Wei Wei 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. 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. 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