Mengjie Zhao

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 106 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it
• Natural Language Processing — 51 citations into it
• Efficiency & Compression — 21 citations into it
• Large Language Models — 16 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Optimization & Training — 14 citations into it

Whom Mengjie Zhao 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. Yann LeCun
6. Ilya Sutskever
7. Kaiming He
8. Jimmy Ba
9. Alex Graves
10. Richard Socher

Who trusts Mengjie Zhao overall

1. Elad Ben-Zaken
2. Zi-Mei Yao
3. Lingling Xu
4. Sehoon Kim
5. Sheng Shen
6. Ning Ding
7. Shauli Ravfogel
8. Haoran Xie
9. Linjian Ma

Papers from Mengjie Zhao's perspective

Ordered by how strongly the researchers Mengjie Zhao 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

• Masking as an Efficient Alternative to Finetuning for Pretrained Language Models (2020) — 137 citations
• Continual Learning for Natural Language Generation in Task-oriented Dialog Systems (2020) — 84 citations