Hao Liu
Artificial Intelligence · with Liu · 2022
A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #17,968 of 35,345 by trust here, #32,362 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #11,315 of 21,575 by trust here, #20,271 by citations
- Meta & Continual Learning — 10 citations into it; #537 of 1,041 by trust here, #1,014 by citations
- Representation & Self-Supervised Learning — 10 citations into it
- Optimization & Training — 9 citations into it; #1,569 of 2,601 by trust here, #2,484 by citations
- Model Architectures — 6 citations into it
Whom Hao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arslan Chaudhry
- Yann LeCun
- Marc'Aurelio Ranzato
- Kaiming He
- Shun-ichi Amari
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Hanna Tseran
- Diederik P. Kingma
Who trusts Hao Liu overall
Papers from Hao Liu's perspective
Ordered by how strongly the researchers Hao Liu 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Continual Learning with Recursive Gradient Optimization (2022) — 56 citations