Ma Jin

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ma Jin trusts overall

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

  1. Najim Dehak
  2. Sergey Ioffe
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Fred Richardson
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. João Carreira
  9. Thibaud Lutellier
  10. Douglas A. Reynolds

Papers from Ma Jin's perspective

Ordered by how strongly the researchers Ma Jin 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers