Vincent Liu
Artificial Intelligence · with Chen · 2018
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #20,406 of 35,345 by trust here, #25,809 by citations
- Computer Vision and Pattern Recognition — 17 citations into it
- Model Architectures — 11 citations into it
- Optimization & Training — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it; #2,055 of 3,145 by trust here, #2,691 by citations
- Reinforcement Learning — 5 citations into it; #1,463 of 2,242 by trust here, #1,932 by citations
Whom Vincent Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Diederik P. Kingma
- Alireza Makhzani
- Yoshua Bengio
- Kaiming He
- Geoffrey E. Hinton
- Martha White
- Alex Krizhevsky
- Yann LeCun
- Jimmy Ba
Who trusts Vincent Liu overall
- Lucas Caccia
- Khurram Javed
- Mohamed Elsayed
- Joelle Pineau
- Martha White
- A. Rupam Mahmood
- Aviral Kumar
- Justin Fu
Papers from Vincent Liu's perspective
Ordered by how strongly the researchers Vincent Liu 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge