Liang Liang

Artificial Intelligence · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Liang trusts

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

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

Papers from Liang Liang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  4. Large Scale Distributed Deep Networks
  5. Regularization of Neural Networks using DropConnect
  6. TensorFlow: A system for large-scale machine learning
  7. Deep Learning
  8. Communication-Efficient Learning of Deep Networks from Decentralized Data
  9. Deep learning with Elastic Averaging SGD
  10. XGBoost: A Scalable Tree Boosting System

Their papers