Wade Genders

arXiv.org · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Whom Wade Genders trusts overall

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

1. G. Tesauro
2. Christopher J. C. H. Watkins
3. J. O’Neill
4. David H. Hubel
5. Peter S. Dayan
6. Longxin Lin
7. Marco A. Wiering
8. Baher Abdulhai
9. Barty Pleydell-Bouverie
10. Yann LeCun

Who trusts Wade Genders overall

1. Xiaoyuan Liang
2. Tianshu Chu
3. Xunsheng Du
4. Jie Wang
5. Hua Wei
6. Zhi Zhang
7. Guiling Wang
8. Lara Codecà

Papers from Wade Genders's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Using a Deep Reinforcement Learning Agent for Traffic Signal Control (2016) — 321 citations