Binghui Peng

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #22,477 of 35,345 by trust here, #32,362 by citations
• Representation & Self-Supervised Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it; #13,936 of 21,575 by trust here, #20,271 by citations
• Meta & Continual Learning — 15 citations into it; #788 of 1,041 by trust here, #1,021 by citations
• Computational Mechanics — 10 citations into it
• Optimization & Training — 10 citations into it

Whom Binghui Peng trusts overall

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

1. Yoshua Bengio
2. Andreas Maurer
3. Tian Ye
4. Geoffrey E. Hinton
5. Jacob Devlin
6. Arslan Chaudhry
7. Alex Krizhevsky
8. Mehrdad Farajtabar
9. Aaron C. Courville
10. Diederik P. Kingma

Who trusts Binghui Peng overall

1. Liangzu Peng
2. Paris V. Giampouras
3. René Vidal

Papers from Binghui Peng's perspective

Ordered by how strongly the researchers Binghui Peng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions (2022) — 16 citations
• Memory Bounds for Continual Learning (2022) — 26 citations