Dominic Zhao

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 84 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it
• Meta & Continual Learning — 37 citations into it
• Representation & Self-Supervised Learning — 24 citations into it
• Optimization & Training — 22 citations into it

Whom Dominic Zhao trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Robert Tibshirani
5. Diederik P. Kingma
6. N. Schraudolph
7. Yann LeCun
8. Oriol Vinyals
9. Kaiming He
10. Chelsea Finn

Who trusts Dominic Zhao overall

1. Jorge Armando Mendez Mendez

Papers from Dominic Zhao's perspective

Ordered by how strongly the researchers Dominic Zhao 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning where to learn: Gradient sparsity in meta and continual learning (2021) — 60 citations
• Sequoia: A Software Framework to Unify Continual Learning Research (2021) — 25 citations