Trevor Campbell

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 103 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Trevor Campbell trusts overall

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

  1. Radford M. Neal
  2. Martin Jaggi
  3. Matthew D. Hoffman
  4. Rémi Bardenet
  5. Max Welling
  6. Michael I. Jordan
  7. John K. Kruschke
  8. Dan Feldman
  9. Tamara Broderick
  10. Geoffrey E. Hinton

Who trusts Trevor Campbell overall

  1. Jacky Y. Zhang
  2. Krishnateja Killamsetty
  3. Yu Chen
  4. Rekha Khanna
  5. Boyan Beronov
  6. Baharan Mirzasoleiman
  7. Anastasios Kyrillidis
  8. Durga Sivasubramanian
  9. Tom Diethe
  10. Oluwasanmi Koyejo

Papers from Trevor Campbell's perspective

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

Their papers