Stephen Tian
Artificial Intelligence · with Xu · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 101 citations into it
- Computer Vision and Pattern Recognition — 87 citations into it
- Control and Systems Engineering — 73 citations into it
- Reinforcement Learning — 60 citations into it
- Robotics & Control — 39 citations into it
Whom Stephen Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chelsea Finn
- Sergey Levine
- Frederik D. Ebert
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Pieter Abbeel
- Yoshua Bengio
- Alex X. Lee
- Yann LeCun
Who trusts Stephen Tian overall
Papers from Stephen Tian's perspective
Ordered by how strongly the researchers Stephen Tian trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Et al
Their papers
- RoboNet: Large-Scale Multi-Robot Learning (2019) — 437 citations
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations
- Manipulation by Feel: Touch-Based Control with Deep Predictive Models (2019) — 154 citations
- DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation (2020) — 706 citations