Xiaotong Lin
Artificial Intelligence · 2014
A researcher in the Science corpus: 1 paper; trusts 110 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #9,839 of 35,345 by trust here, #10,798 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Optimization & Training — 14 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Model Architectures — 5 citations into it
Whom Xiaotong Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Hugo Larochelle
- Ilya Sutskever
- Marc'Aurelio Ranzato
- Ruslan Salakhutdinov
- L. Eon Bottou
- Koray Kavukcuoglu
Who trusts Xiaotong Lin overall
- Qingchen Zhang
- A. Shrestha
- M. Bakator
- Hussein Issa
- Xiaoqian Lin
- Nguyen Binh Truong
- Laurence Tianruo Yang
- Mohammed Ali Al-Garadi
- Zhikui Chen
- Ausif Mahmood
Papers from Xiaotong Lin's perspective
Ordered by how strongly the researchers Xiaotong Lin 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
Their papers
- Big Data Deep Learning: Challenges and Perspectives (2014) — 1,175 citations