Xuxin Cheng

Artificial Intelligence · with Abbeel · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xuxin Cheng trusts overall

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

  1. Xue Bin Peng
  2. John Schulman
  3. Stéphane Ross
  4. Philipp Wu
  5. Pieter Abbeel
  6. Sergey Levine
  7. J. Bagnell
  8. E. Todorov
  9. Michiel van de Panne
  10. Geoffrey J. Gordon

Who trusts Xuxin Cheng overall

  1. Xuxin Cheng
  2. Jialong Li

Papers from Xuxin Cheng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Proximal Policy Optimization Algorithms (arXiv.org)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. MuJoCo: A physics engine for model-based control
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers