Junjie Sheng

Artificial Intelligence · 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 Junjie Sheng 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

Papers from Junjie Sheng's perspective

Ordered by how strongly the researchers Junjie Sheng 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. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  4. Proximal Policy Optimization Algorithms (arXiv.org)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  9. Trust Region Policy Optimization (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers