Haoming Zhan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 272 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #25,436 of 35,345 by trust here, #34,943 by citations
• Computer Vision and Pattern Recognition — 31 citations into it
• Meta & Continual Learning — 18 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Reinforcement Learning — 6 citations into it
• Model Architectures — 5 citations into it

Whom Haoming Zhan trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Sergey Ioffe
7. Sebastian Thrun
8. Yann LeCun
9. Christian Szegedy
10. Marc'Aurelio Ranzato

Who trusts Haoming Zhan overall

1. Mustafa Burak Gurbuz
2. C. Dovrolis

Papers from Haoming Zhan's perspective

Ordered by how strongly the researchers Haoming Zhan 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• FFNB: Forgetting-Free Neural Blocks for Deep Continual Learning (2021) — 7 citations