Gillian M. Chin

Optimization & Training · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Gillian M. Chin trusts overall

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

  1. L. Eon Bottou
  2. James Martens
  3. Yurii E. Nesterov
  4. Roger Fletcher
  5. David L. Donoho
  6. Jorge Nocedal
  7. Tom Minka
  8. Robert Malouf
  9. John C. Duchi
  10. Boris Polyak

Who trusts Gillian M. Chin overall

  1. James Martens
  2. Farbod Roosta-Khorasani
  3. Raghu Bollapragada
  4. Murat A. Erdogdu
  5. Michael W. Mahoney
  6. Albert S. Berahas
  7. S. Meng
  8. Soham De
  9. Luca Calatroni
  10. Andre Milzarek

Papers from Gillian M. Chin's perspective

Ordered by how strongly the researchers Gillian M. Chin 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers