Simin Liu

Artificial Intelligence · with Abbeel · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #25,661 of 35,345 by trust here, #12,244 by citations
• Reinforcement Learning — 28 citations into it; #1,726 of 2,242 by trust here, #1,125 by citations
• Control and Systems Engineering — 11 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Simin Liu trusts overall

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

1. J. Urgen Schmidhuber
2. Sergey Levine
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Marc Peter Deisenroth
6. Chelsea Finn
7. Pieter Abbeel
8. Diederik P. Kingma
9. Richard S. Sutton
10. Alex Krizhevsky

Who trusts Simin Liu overall

1. Chelsea Finn

Papers from Simin Liu's perspective

Ordered by how strongly the researchers Simin Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning (2018) — 659 citations