Wonjoon Goo

Reinforcement Learning · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Wonjoon Goo trusts overall

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

  1. Sergey Levine
  2. E. Todorov
  3. Diederik P. Kingma
  4. Richard S. Sutton
  5. Geoffrey E. Hinton
  6. Pieter Abbeel
  7. Marc G. Bellemare
  8. Abhishek Gupta
  9. Yoshua Bengio
  10. Chelsea Finn

Who trusts Wonjoon Goo overall

  1. Daniel S. Brown
  2. Saurabh Arora
  3. Banghua Zhu
  4. Jacob Buckman
  5. Benjamin Eysenbach
  6. Maryam Zare

Papers from Wonjoon Goo's perspective

Ordered by how strongly the researchers Wonjoon Goo 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers