Yiming Ding

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yiming Ding trusts overall

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

  1. Sergey Levine
  2. Pieter Abbeel
  3. Leslie Pack Kaelbling
  4. E. Todorov
  5. John Schulman
  6. Ashvin Nair
  7. Geoffrey E. Hinton
  8. Richard S. Sutton
  9. Carlos Florensa
  10. Diederik P. Kingma

Who trusts Yiming Ding overall

  1. Corey Lynch
  2. Benjamin Eysenbach
  3. Dibya Ghosh
  4. Alexander C. Li
  5. Scott Emmons
  6. Pierre Sermanet
  7. Sergey Levine
  8. Abhishek Gupta
  9. Simon Stepputtis
  10. Yevgen Chebotar

Papers from Yiming Ding's perspective

Ordered by how strongly the researchers Yiming Ding 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers