Jian Li

Artificial Intelligence · with Jiang · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #31,503 of 35,345 by trust here, #28,481 by citations
• Optimization & Training — 12 citations into it; #2,431 of 2,601 by trust here, #2,259 by citations
• Model Architectures — 6 citations into it

Whom Jian Li trusts overall

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

1. Sepp Hochreiter
2. Yutian Chen
3. J. Urgen Schmidhuber
4. Ke Li
5. Neal Parikh
6. Geoffrey E. Hinton
7. Diederik P. Kingma

Who trusts Jian Li overall

1. Luke Metz

Papers from Jian Li's perspective

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

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

Their papers

• Learning Gradient Descent: Better Generalization and Longer Horizons (2017) — 120 citations