Haoliang Li
Computer Vision and Pattern Recognition · 1 papers · 2018
A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #8,338 of 21,575 by trust here, #7,340 by citations
- Artificial Intelligence — 24 citations into it; #12,628 of 35,345 by trust here, #10,430 by citations
- Representation & Self-Supervised Learning — 20 citations into it; #1,435 of 3,145 by trust here, #1,370 by citations
- Generative Models — 6 citations into it
Whom Haoliang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Geoffrey E. Hinton
- Alex Krizhevsky
- Arthur Gretton
- Kaiming He
- Ilya Sutskever
- Li Fei-Fei
- Jimmy Ba
Who trusts Haoliang Li overall
- Kaiyang Zhou
- Fabio Maria Carlucci
- Haohan Wang
- Yongxin Yang
- Yusuke Iwasawa
- Divyat Mahajan
- Seanie Lee
- Hung-Yu Tseng
- Jiaxing Huang
- Zeyi Huang
Papers from Haoliang Li's perspective
Ordered by how strongly the researchers Haoliang 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- Domain Generalization with Adversarial Feature Learning (2018) — 1,510 citations