Jianxin Lin
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 437 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 134 citations into it
- Generative Models — 69 citations into it
- Artificial Intelligence — 61 citations into it
- Natural Language Processing — 23 citations into it; #5,468 of 5,688 by trust here, #3,638 by citations
- Representation & Self-Supervised Learning — 14 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Optimization & Training — 8 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Jianxin Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Ruslan Salakhutdinov
- Jimmy Ba
- Radford M. Neal
Who trusts Jianxin Lin overall
Papers from Jianxin Lin's perspective
Ordered by how strongly the researchers Jianxin Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Image-to-Image Translation: Methods and Applications (2021) — 349 citations
- Deliberation Networks: Sequence Generation Beyond One-Pass Decoding (2017) — 221 citations