Guibin Chen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Guibin Chen trusts overall

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

  1. Erik Cambria
  2. Geoffrey E. Hinton
  3. Yoon Kim
  4. Soujanya Poria
  5. Tomas Mikolov
  6. Yoshua Bengio
  7. Vinod Nair
  8. Diederik P. Kingma
  9. Richard Socher
  10. Andrew M. Dai

Who trusts Guibin Chen overall

  1. Tom Young
  2. Ammar Mohammed
  3. Devamanyu Hazarika
  4. M. A. Ganaie
  5. Pengcheng Yang
  6. Erik Cambria
  7. Rania Kora
  8. Soujanya Poria

Papers from Guibin Chen's perspective

Ordered by how strongly the researchers Guibin 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers