David W. Lu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Model Architectures — 5 citations into it

Whom David W. Lu trusts overall

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

1. Richard S. Sutton
2. Paul J. Werbos
3. J. Urgen Schmidhuber
4. Sepp Hochreiter
5. Nikolaus Hansen
6. John A. Nelder
7. Marco Dorigo
8. Wojciech Zaremba
9. Ilya Sutskever
10. Daan Wierstra

Who trusts David W. Lu overall

1. Zhipeng Liang
2. H. Buhler
3. Hao Chen
4. Junhao Zhu
5. Lukas Gonon
6. Kangkang Jiang

Papers from David W. Lu's perspective

Ordered by how strongly the researchers David W. Lu 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
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

• Agent Inspired Trading Using Recurrent Reinforcement Learning and LSTM Neural Networks (2017) — 52 citations