Jan Vainer

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #9,725 of 35,345 by trust here, #27,551 by citations
• Optimization & Training — 5 citations into it

Whom Jan Vainer trusts overall

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

1. Diederik P. Kingma
2. Sergey Ioffe
3. Trevor J. Hastie
4. Jimmy Ba
5. Zhou Wang
6. Christian Szegedy
7. Ashish Vaswani
8. Robert Tibshirani
9. Geoffrey E. Hinton
10. Jerome H. Friedman

Who trusts Jan Vainer overall

1. Yi Ren
2. Xu Tan
3. Zhaoxi Mu
4. Tao Qin
5. Myeonghun Jeong
6. Minchan Kim
7. Jinglin Liu
8. Chen Zhang
9. Disong Wang
10. Sung Jun Cheon

Papers from Jan Vainer's perspective

Ordered by how strongly the researchers Jan Vainer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• SpeedySpeech: Efficient Neural Speech Synthesis (2020) — 52 citations