O. Team

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom O. Team trusts overall

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

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

Who trusts O. Team overall

  1. Tsung-Wei Ke
  2. Moo Jin Kim
  3. Qingwen Bu

Papers from O. Team's perspective

Ordered by how strongly the researchers O. Team 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  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