Gordon Wetzstein

Artificial Intelligence · with Finn · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gordon Wetzstein trusts

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

  1. Sergey Levine (in Artificial Intelligence)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)
  3. Pieter Abbeel (in Artificial Intelligence)
  4. Trevor Darrell (in Computer Vision and Pattern Recognition)
  5. Chelsea Finn (in Artificial Intelligence)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Dimitrios Tzionas (in Computer Vision and Pattern Recognition)

Papers from Gordon Wetzstein's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Proximal Policy Optimization Algorithms (arXiv.org)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers