Tian Lan

Artificial Intelligence · with Collier · 2022

A researcher in the Science corpus: 2 papers; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 86 citations into it
• Computer Vision and Pattern Recognition — 67 citations into it
• Natural Language Processing — 50 citations into it
• Multimodal Learning — 34 citations into it
• Representation & Self-Supervised Learning — 20 citations into it

Whom Tian Lan trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ilya Sutskever
6. Kaiming He
7. Jimmy Ba
8. Yann LeCun
9. Oriol Vinyals
10. Alex Graves

Who trusts Tian Lan overall

1. Rohan Taori
2. Yixuan Su

Papers from Tian Lan's perspective

Ordered by how strongly the researchers Tian Lan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• A Contrastive Framework for Neural Text Generation (2022) — 334 citations
• Language Models Can See: Plugging Visual Controls in Text Generation (2022) — 120 citations