Lin Su
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 76 citations into it
- Artificial Intelligence — 75 citations into it
- Multimodal Learning — 54 citations into it
- Natural Language Processing — 39 citations into it
Whom Lin Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Andrej Karpathy
- Yann LeCun
- Jimmy Ba
- Ross B. Girshick
Who trusts Lin Su overall
Papers from Lin Su's perspective
Ordered by how strongly the researchers Lin Su 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data (2020) — 280 citations
- M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training (2021) — 120 citations
- M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training (2020) — 7 citations