Jessica B. Hamrick

Artificial Intelligence · 2011–2025

A researcher in the Science corpus: 12 papers; trusts 368 researchers and is trusted by 222 researchers here, as inferred from the citation graph.

Subfields

Whom Jessica B. Hamrick trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ronald J. Williams
  5. Alex Graves
  6. J. Urgen Schmidhuber
  7. Alex Krizhevsky
  8. Sergey Levine
  9. David Silver
  10. Ilya Sutskever

Who trusts Jessica B. Hamrick overall

  1. Wenbin Li
  2. Peter W. Battaglia
  3. Josh Tenenbaum
  4. Kevin A. Smith
  5. Kelsey R. Allen
  6. Michael Chang
  7. Tomer D. Ullman
  8. Alvaro Sanchez-Gonzalez
  9. Ales Leonardis
  10. Victor Bapst

Papers from Jessica B. Hamrick's perspective

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

Their papers