Minmin Chen

Artificial Intelligence · 2011–2025

A researcher in the Science corpus: 10 papers; trusts 287 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Minmin Chen trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Alex Krizhevsky
  5. L. Eon Bottou
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Ronald J. Williams
  9. Sepp Hochreiter
  10. Thorsten Joachims

Who trusts Minmin Chen overall

  1. Greg Yang
  2. Hao Wang
  3. Kilian Q. Weinberger
  4. Wouter M. Kouw
  5. Yftah Ziser
  6. Garrett Wilson
  7. Yoshua Bengio
  8. Gabriella Csurka
  9. Dit-Yan Yeung
  10. Fuzhen Zhuang

Papers from Minmin Chen's perspective

Ordered by how strongly the researchers Minmin Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers