Renjie Liu

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #29,576 of 35,345 by trust here, #9,870 by citations
• Natural Language Processing — 27 citations into it; #4,825 of 5,688 by trust here, #2,172 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #18,200 of 21,575 by trust here, #6,954 by citations

Whom Renjie Liu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alec Radford
4. Yoshua Bengio
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Ilya Sutskever
8. Vinod Nair

Who trusts Renjie Liu overall

1. Gaurav Menghani
2. Alexander M. Rush
3. Furu Wei

Papers from Renjie Liu's perspective

Ordered by how strongly the researchers Renjie Liu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Layer Normalization
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices (2020) — 1,053 citations
• MobileBERT: Task-Agnostic Compression of BERT by Progressive Knowledge Transfer (2019) — 20 citations