Bo Lang

Artificial Intelligence · with Huang · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 287 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it; #18,290 of 35,345 by trust here, #17,412 by citations
• Computer Vision and Pattern Recognition — 58 citations into it; #8,826 of 21,575 by trust here, #10,500 by citations
• Optimization & Training — 46 citations into it; #2,202 of 2,601 by trust here, #2,378 by citations
• Model Architectures — 38 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Computational Mechanics — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Signal Processing — 7 citations into it

Whom Bo Lang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Karen Simonyan
6. Yoshua Bengio
7. Sergey Ioffe
8. Christian Szegedy
9. Jimmy Ba
10. Yann LeCun

Who trusts Bo Lang overall

1. Lei Huang
2. Andrew Brock
3. Yi Zhou
4. Cecilia Summers

Papers from Bo Lang's perspective

Ordered by how strongly the researchers Bo Lang 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks (2017) — 264 citations
• Centered Weight Normalization in Accelerating Training of Deep Neural Networks (2017) — 83 citations
• Decorrelated Batch Normalization (2018) — 217 citations