Mingxin Zhou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingxin Zhou trusts

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

  1. Christopher D. Manning (in Artificial Intelligence)
  2. Richard Socher (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Jason Aaron Edward Weston (in Artificial Intelligence)
  6. Jimmy Ba (in Artificial Intelligence)
  7. Makoto Miwa (in Artificial Intelligence)
  8. Ronald J. Williams (in Reinforcement Learning)
  9. Geoffrey E. Hinton (in Artificial Intelligence)
  10. Ilya Sutskever (in Artificial Intelligence)

Papers from Mingxin Zhou's perspective

Ordered by how strongly the researchers Mingxin Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Human-level control through deep reinforcement learning
  9. Curriculum learning
  10. Gradient-based learning applied to document recognition

Their papers