Albert Zhan
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it
- Computer Vision and Pattern Recognition — 56 citations into it
- Reinforcement Learning — 55 citations into it
- Control and Systems Engineering — 42 citations into it
- Robotics & Control — 23 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Biomedical Engineering — 12 citations into it
Whom Albert Zhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Pieter Abbeel
- Alex Krizhevsky
- Andrew Y. Ng
- Yann LeCun
- Kaiming He
- Yoshua Bengio
- Sergey Levine
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Albert Zhan overall
Papers from Albert Zhan's perspective
Ordered by how strongly the researchers Albert Zhan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (2024) — 905 citations
- A Framework for Efficient Robotic Manipulation (2020) — 90 citations