Ming-Feng Tsai

Artificial Intelligence · with Lin · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ming-Feng Tsai trusts overall

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

  1. Geoffrey E. Hinton
  2. Tijmen Tieleman
  3. Ruslan Salakhutdinov
  4. Chih-Jen Lin
  5. Alex Krizhevsky
  6. Darrell Duffie
  7. Marc'Aurelio Ranzato
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Ming-Feng Tsai overall

  1. M. Ugur Gudelek
  2. Omer Berat Sezer
  3. A. Ozbayoglu

Papers from Ming-Feng Tsai's perspective

Ordered by how strongly the researchers Ming-Feng Tsai 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers