Victor S. Sheng

Artificial Intelligence · IEEE Transactions on Neural Networks and Learning Systems · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Victor S. Sheng trusts overall

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

  1. Yuhai Wu
  2. Chih-Jen Lin
  3. Christopher K. I. Williams
  4. Bernhard Schölkopf
  5. Alex Smola
  6. Pavel Laskov
  7. Gert Cauwenberghs
  8. Ling Li
  9. Robert Tibshirani
  10. C. Diehl

Who trusts Victor S. Sheng overall

  1. Wu Deng
  2. Roozbeh Jafari

Papers from Victor S. Sheng's perspective

Ordered by how strongly the researchers Victor S. Sheng 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. LIBSVM: A library for support vector machines
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers