Nick Harvey

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Harvey trusts overall

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

  1. Matus Telgarsky
  2. Peter L. Bartlett
  3. Nadav Cohen
  4. Dmitry Yarotsky
  5. Itay Safran
  6. Martin H. Anthony
  7. Ohad Shamir
  8. Or Sharir
  9. Ronen Eldan
  10. Vladimir Naumovich Vapnik

Who trusts Nick Harvey overall

  1. Behnam Neyshabur
  2. Zhiwei Jia
  3. Max H. Farrell
  4. Tengyuan Liang
  5. Jianfeng Lu
  6. Zhou Lu
  7. Srinadh Bhojanapalli
  8. Hao Su
  9. Simon Shaolei Du
  10. Atsushi Nitanda

Papers from Nick Harvey's perspective

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

  1. On the Expressive Power of Deep Learning: A Tensor Analysis
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Neural Network Learning: Theoretical Foundations
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Learning
  6. The Power of Depth for Feedforward Neural Networks
  7. Benefits of Depth in Neural Networks
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Approximation capabilities of multilayer feedforward networks

Their papers