Mingwen Wang

Artificial Intelligence · with Kuang · 2022

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingwen Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Ilya Sutskever

Papers from Mingwen Wang's perspective

Ordered by how strongly the researchers Mingwen Wang 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Layer Normalization
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Language Models are Unsupervised Multitask Learners

Their papers