Man Luo

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 147 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #30,698 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 47 citations into it; #5,560 of 5,688 by trust here, #5,214 by citations
• Computer Vision and Pattern Recognition — 42 citations into it; #18,836 of 21,575 by trust here, #19,310 by citations
• Prompting & Reasoning — 25 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Multimodal Learning — 13 citations into it
• Information Retrieval & Search — 9 citations into it; #904 of 1,022 by trust here, #916 by citations
• Information Systems — 8 citations into it

Whom Man Luo trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Yann LeCun
8. Richard Socher
9. Ross B. Girshick
10. George A. Miller

Who trusts Man Luo overall

1. Weizhe Lin
2. Swaroop Mishra
3. Ravsehaj Singh Puri
4. Feng Gao
5. Liangke Gui
6. Bill Byrne

Papers from Man Luo's perspective

Ordered by how strongly the researchers Man Luo 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering (2021) — 98 citations
• BioTABQA: Instruction Learning for Biomedical Table Question Answering (2022) — 19 citations
• In-BoXBART: Get Instructions into Biomedical Multi-Task Learning (2022) — 23 citations