Xingchang Huang
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #10,440 of 35,345 by trust here, #17,776 by citations
- Meta & Continual Learning — 25 citations into it; #325 of 1,041 by trust here, #660 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #7,185 of 21,575 by trust here, #11,950 by citations
- Representation & Self-Supervised Learning — 19 citations into it
- Reinforcement Learning — 9 citations into it
Whom Xingchang Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Sebastian Thrun
- Zhiyuan Chen
- Yoshua Bengio
- Ilya Sutskever
- Marc'Aurelio Ranzato
- Diederik P. Kingma
- Kaiming He
Who trusts Xingchang Huang overall
Papers from Xingchang Huang's perspective
Ordered by how strongly the researchers Xingchang Huang 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks (2021) — 165 citations