Wenbo Gao

Optimization & Training · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbo Gao trusts overall

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

  1. Donald Goldfarb
  2. L. Eon Bottou
  3. David F. Shanno
  4. Jorge Nocedal
  5. Yurii E. Nesterov
  6. Rie Johnson
  7. Roger Fletcher
  8. Yuchen Zhang
  9. Chao Zhou
  10. Arkadi Nemirovski

Who trusts Wenbo Gao overall

  1. S. Meng
  2. Sharan Vaswani
  3. Dmitrii Ostrovskii
  4. Issam Hadj Laradji
  5. Raghu Bollapragada
  6. Umut Simsekli
  7. Donald Goldfarb
  8. Mark W. Schmidt

Papers from Wenbo Gao's perspective

Ordered by how strongly the researchers Wenbo Gao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers