Hanlin Zhu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #19,639 of 35,345 by trust here, #28,481 by citations
• Reinforcement Learning — 10 citations into it

Whom Hanlin Zhu trusts overall

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

1. Brian D. Ziebart
2. John Schulman
3. Chelsea Finn
4. Sergey Levine
5. Justin Fu
6. Geoffrey E. Hinton
7. Diederik P. Kingma
8. Yoshua Bengio
9. Marilyn A. Walker
10. Richard S. Sutton

Who trusts Hanlin Zhu overall

1. Christian Geishauser
2. Carel van Niekerk

Papers from Hanlin Zhu's perspective

Ordered by how strongly the researchers Hanlin Zhu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog (2019) — 104 citations