Oliver Hinz

Artificial Intelligence · 2011–2023

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Hinz trusts overall

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

  1. Diane Lambert
  2. J. Mullahy
  3. Duncan J. Watts
  4. Christophe Van den Bulte
  5. Scott M. Lundberg
  6. Mark S. Granovetter
  7. Peter Sheridan Dodds

Who trusts Oliver Hinz overall

  1. G. Schryen

Papers from Oliver Hinz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Rethinking the Inception Architecture for Computer Vision
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Deep Learning
  5. New Product Diffusion with Influentials and Imitators
  6. Towards A Rigorous Science of Interpretable Machine Learning
  7. A Unified Approach to Interpreting Model Predictions
  8. The dynamics of viral marketing
  9. The Strength of Weak Ties
  10. Dermatologist-level classification of skin cancer with deep neural networks

Their papers