Junyi Du

Artificial Intelligence · 2020

A researcher in the Science corpus: 5 papers; trusts 497 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 139 citations into it; #29,795 of 35,345 by trust here, #17,412 by citations
• Computer Vision and Pattern Recognition — 101 citations into it; #18,275 of 21,575 by trust here, #12,689 by citations
• Meta & Continual Learning — 50 citations into it; #916 of 1,041 by trust here, #660 by citations
• Natural Language Processing — 44 citations into it
• Representation & Self-Supervised Learning — 42 citations into it
• Reinforcement Learning — 22 citations into it
• Optimization & Training — 21 citations into it
• Multimodal Learning — 19 citations into it

Whom Junyi Du trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Rahaf Aljundi
7. Yann LeCun
8. Anthony V. Robins
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Junyi Du overall

1. Fei Ye

Papers from Junyi Du's perspective

Ordered by how strongly the researchers Junyi Du 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Visually Grounded Continual Learning of Compositional Phrases (2020) — 18 citations
• Gradient-based Editing of Memory Examples for Online Task-free Continual Learning (2020) — 117 citations
• NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction (2020) — 58 citations
• Visually Grounded Continual Learning of Compositional Semantics (2020) — 4 citations
• Gradient Based Memory Editing for Task-Free Continual Learning (2020) — 31 citations