Tairan He
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it
- Reinforcement Learning — 27 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Generative Models — 13 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
- Control and Systems Engineering — 10 citations into it
- Optimization & Training — 7 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Tairan He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Pieter Abbeel
- John Schulman
- Yann LeCun
- Sergey Levine
- Diederik P. Kingma
- Andrew Y. Ng
- Yoshua Bengio
- Alex Krizhevsky
- Jonathan Ho
Papers from Tairan He's perspective
Ordered by how strongly the researchers Tairan He 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning (2024) — 329 citations
- Energy-Based Imitation Learning (2020) — 55 citations