Tingling Chen

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tingling Chen trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Stefano Ermon (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Tingling Chen's perspective

Ordered by how strongly the researchers Tingling Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. High-Dimensional Continuous Control Using Generalized Advantage Estimation
  3. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
  4. Generative Adversarial Imitation Learning
  5. Focal Loss for Dense Object Detection
  6. Multi-task Deep Reinforcement Learning with PopArt
  7. Self-Imitation Learning
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
  10. Emergent Coordination Through Competition

Their papers