M. Lai

Electrical and Electronic Engineering · with Lu · 2000–2018

A researcher in the Science corpus: 11 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom M. Lai trusts overall

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

  1. Jun Liu

Who trusts M. Lai overall

  1. H. Xia
  2. R. Casati

Papers from M. Lai's perspective

Ordered by how strongly the researchers M. Lai 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Histograms of oriented gradients for human detection
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers