Hoai An Le Thi

Optimization & Training · 1997–2018

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hoai An Le Thi trusts overall

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

  1. R. Tyrrell Rockafellar
  2. J. Moreau
  3. Tao Pham Dinh
  4. Leo Liberti
  5. Ronan Collobert
  6. L. Eon Bottou
  7. Hui Zou
  8. Olvi L. Mangasarian
  9. Jason Aaron Edward Weston
  10. Alan L. Yuille

Who trusts Hoai An Le Thi overall

  1. Emilio Carrizosa
  2. Stephen H. Bach
  3. Penghang Yin
  4. Matthias Broecheler
  5. Bharath K. Sriperumbudur
  6. Vanesa Guerrero
  7. Dolores Romero Morales
  8. Mehryar Mohri
  9. Wei Yang Bryan Lim
  10. Tao Pham Dinh

Papers from Hoai An Le Thi's perspective

Ordered by how strongly the researchers Hoai An Le Thi 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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