Kevin Black

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 7 papers; trusts 225 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Black trusts overall

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

  1. Diederik P. Kingma
  2. Jonathan Ho
  3. Geoffrey E. Hinton
  4. Sergey Levine
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Kaiming He
  8. Yann LeCun
  9. Ilya Sutskever
  10. Pieter Abbeel

Who trusts Kevin Black overall

  1. Moo Jin Kim
  2. Hanze Dong
  3. Jie Liu
  4. Bram Wallace
  5. Qingwen Bu

Papers from Kevin Black's perspective

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

Their papers