Steven Basart

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 12 papers; trusts 362 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Basart trusts overall

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

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

Who trusts Steven Basart overall

  1. Dan Hendrycks
  2. Kaiyang Zhou
  3. Jingkang Yang
  4. Mitchell Wortsman
  5. Muhammad Uzair Khattak
  6. Hieu Pham
  7. Sayak Paul
  8. Josip Djolonga
  9. Michael Matena
  10. Da-Wei Zhou

Papers from Steven Basart's perspective

Ordered by how strongly the researchers Steven Basart 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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers