Zhibin Liao

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 28 citations into it
• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Computational Mechanics — 5 citations into it

Whom Zhibin Liao trusts overall

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

1. James Martens
2. Alex Krizhevsky
3. L. Eon Bottou
4. Yann LeCun
5. Geoffrey E. Hinton
6. Shun-ichi Amari
7. Kaiming He
8. Yoshua Bengio
9. N. Schraudolph
10. Sergey Ioffe

Who trusts Zhibin Liao overall

1. Frederik Kunstner
2. Pietro Buzzega
3. Amira Abbas
4. Philipp Hennig
5. Matteo Boschini

Papers from Zhibin Liao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks (2018) — 27 citations