Ron Litman

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 77 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 — 41 citations into it
• Multimodal Learning — 29 citations into it
• Natural Language Processing — 13 citations into it

Whom Ron Litman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Taku Kudo
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. Jia Deng
10. Peter Anderson

Papers from Ron Litman's perspective

Ordered by how strongly the researchers Ron Litman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• LaTr: Layout-Aware Transformer for Scene-Text VQA (2021) — 121 citations