Bo Jin

Artificial Intelligence · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bo Jin trusts overall

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

  1. Ronald J. Williams
  2. John Schulman
  3. G. Tesauro
  4. Richard S. Sutton
  5. Sergey Levine
  6. Sham M. Kakade
  7. Geoffrey E. Hinton
  8. Pieter Abbeel
  9. Diederik P. Kingma
  10. Yoshua Bengio

Papers from Bo Jin's perspective

Ordered by how strongly the researchers Bo Jin 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. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Proximal Policy Optimization Algorithms (arXiv.org)
  9. ImageNet: A large-scale hierarchical image database
  10. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Their papers