Yunzhu Li
Artificial Intelligence · with Florence · 2020
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Control and Systems Engineering — 12 citations into it
- Reinforcement Learning — 11 citations into it
- Robotics & Control — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Yunzhu Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chelsea Finn
- Diederik P. Kingma
- Sergey Levine
- Peter R. Florence
- Geoffrey E. Hinton
- Jimmy Ba
- Alex Krizhevsky
- Yoshua Bengio
- Russ Tedrake
- Pieter Abbeel
Papers from Yunzhu Li's perspective
Ordered by how strongly the researchers Yunzhu Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge