Wenliang Li
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #16,298 of 35,345 by trust here, #24,417 by citations
- Probabilistic & Bayesian Methods — 12 citations into it; #920 of 1,525 by trust here, #1,136 by citations
- Computer Vision and Pattern Recognition — 11 citations into it; #10,386 of 21,575 by trust here, #15,955 by citations
- Statistics and Probability — 7 citations into it; #5,979 of 12,932 by trust here, #6,853 by citations
Whom Wenliang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Aapo Hyvärinen
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Jianbo Shi
- Jimmy Ba
- Alex Krizhevsky
- Iain Murray
- Laurent Dinh
Who trusts Wenliang Li overall
- Yang Song
- Michael Arbel
- Stefano Ermon
- Jiaming Song
- Liang Zhou
- Arthur Gretton
- Feng Liu
- Xialiang Dou
- Sahaj Garg
Papers from Wenliang Li's perspective
Ordered by how strongly the researchers Wenliang Li 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Learning deep kernels for exponential family densities (2018) — 79 citations