Alexander C. Li

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 205 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 79 citations into it; #28,903 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 72 citations into it
• Reinforcement Learning — 41 citations into it
• Generative Models — 30 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Control and Systems Engineering — 10 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Alexander C. Li trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Andrew Y. Ng
8. Richard S. Sutton
9. Pieter Abbeel
10. Ilya Sutskever

Who trusts Alexander C. Li overall

1. Jian Peng
2. Andrew Silva
3. Tanmay Gangwani
4. Sihyun Yu
5. Nina M. Moorman

Papers from Alexander C. Li's perspective

Ordered by how strongly the researchers Alexander C. Li 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Your Diffusion Model is Secretly a Zero-Shot Classifier (2023) — 371 citations
• Generalized Hindsight for Reinforcement Learning (2020) — 78 citations