Shijun Zhang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Scaling & Learning Theory — 9 citations into it

Whom Shijun Zhang trusts overall

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

1. Dmitry Yarotsky
2. Andrew R. Barron

Papers from Shijun Zhang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Neural Network Learning: Theoretical Foundations
3. Multilayer feedforward networks are universal approximators
4. Error bounds for approximations with deep ReLU networks
5. Neural Tangent Kernel: Convergence and Generalization in Neural Networks
6. On the Number of Linear Regions of Deep Neural Networks
7. Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks
8. Approximation by superpositions of a sigmoidal function
9. Approximation capabilities of multilayer feedforward networks
10. Universal approximation bounds for superpositions of a sigmoidal function

Their papers

• Deep Network Approximation for Smooth Functions (2020) — 314 citations