Allan Zhou

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Reinforcement Learning — 31 citations into it

Whom Allan Zhou trusts overall

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

1. Chelsea Finn
2. Sergey Levine
3. Pieter Abbeel
4. Jan Peters
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Richard S. Sutton
8. Yoshua Bengio
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Allan Zhou overall

1. Sudeep Dasari
2. Abhinav Kumar Gupta

Papers from Allan Zhou's perspective

Ordered by how strongly the researchers Allan Zhou 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Watch, Try, Learn: Meta-Learning from Demonstrations and Reward (2019) — 54 citations
• Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback (2023) — 810 citations