Ya-Jie Zhang

Model Architectures · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ya-Jie Zhang trusts overall

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

  1. Mike Schuster
  2. Kei Akuzawa
  3. Aäron van den Oord
  4. Yuxuan Wang
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Alex Graves
  9. David Krueger
  10. Kuldip K. Paliwal

Who trusts Ya-Jie Zhang overall

  1. Ajinkya Kulkarni
  2. Xu Tan
  3. Wei-Ning Hsu
  4. Takuma Okamoto
  5. Yanyao Bian
  6. Liumeng Xue
  7. Sri Karlapati
  8. Sang-Hoon Lee
  9. Goeric Huybrechts
  10. Yukiya Hono

Papers from Ya-Jie Zhang's perspective

Ordered by how strongly the researchers Ya-Jie Zhang 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. GENERATIVE ADVERSARIAL NETS
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers