Mingsheng Hong

Optimization & Training · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mingsheng Hong trusts overall

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

  1. J. Demmel

Who trusts Mingsheng Hong overall

  1. Yi Tay

Papers from Mingsheng Hong's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Large Scale Distributed Deep Networks
  5. cuDNN: Efficient Primitives for Deep Learning
  6. Automatic differentiation in PyTorch
  7. TensorFlow: A system for large-scale machine learning
  8. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
  9. Parsing Natural Scenes and Natural Language with Recursive Neural Networks
  10. Chainer : a Next-Generation Open Source Framework for Deep Learning

Their papers