Kaiwen Li

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computational Theory and Mathematics — 9 citations into it

Whom Kaiwen Li trusts overall

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

1. Diederik P. Kingma
2. Kaisa Miettinen
3. Gerhard Reinelt
4. Yoshua Bengio
5. Andrzej Jaszkiewicz
6. Oriol Vinyals
7. Xavier Glorot
8. Qingfu Zhang
9. Geoffrey E. Hinton
10. Jimmy Ba

Papers from Kaiwen Li's perspective

Ordered by how strongly the researchers Kaiwen Li 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Reinforcement Learning for Multiobjective Optimization (2019) — 391 citations