Eric Wong

Artificial Intelligence · with Kolter · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 324 researchers and is trusted by 188 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Wong trusts overall

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

  1. Ian J. Goodfellow
  2. Nicholas Carlini
  3. Kaiming He
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Xiaowei Huang
  9. Yoshua Bengio
  10. Alexey Kurakin

Who trusts Eric Wong overall

  1. Sven Gowal
  2. Huan Zhang
  3. Maksym Andriushchenko
  4. A. Serban
  5. Tianyu Pang
  6. Francesco Croce
  7. Liwei Song
  8. Shiqi Wang
  9. Jingfeng Zhang
  10. Matthias Hein

Papers from Eric Wong's perspective

Ordered by how strongly the researchers Eric Wong 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers