Yijie Lin
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it
- Artificial Intelligence — 40 citations into it
- Representation & Self-Supervised Learning — 25 citations into it
- Signal Processing — 5 citations into it
Whom Yijie Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Ehsan Elhamifar
- Jimmy Ba
- Ruslan Salakhutdinov
- Ilya Sutskever
Who trusts Yijie Lin overall
Papers from Yijie Lin's perspective
Ordered by how strongly the researchers Yijie 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Dual Contrastive Prediction for Incomplete Multi-View Representation Learning (2022) — 328 citations
- COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (2021) — 440 citations