Chris Hallacy

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 6 papers; trusts 150 researchers and is trusted by 655 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Hallacy trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Christian Szegedy
  10. Richard Socher

Who trusts Chris Hallacy overall

  1. Renrui Zhang
  2. Zhe Gan
  3. Bo Li
  4. Chunyuan Li
  5. Jianwei Yang
  6. Nicholas Carlini
  7. Junnan Li
  8. Saining Xie
  9. Trevor Darrell
  10. Mohit Bansal

Papers from Chris Hallacy's perspective

Ordered by how strongly the researchers Chris Hallacy 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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