Roberto Mart'in-Mart'in

Artificial Intelligence · 2016–2024

A researcher in the Science corpus: 24 papers; trusts 772 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Mart'in-Mart'in trusts overall

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

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

Who trusts Roberto Mart'in-Mart'in overall

  1. Ajay Mandlekar
  2. Yuke Zhu
  3. Soroush Nasiriany
  4. Linxi (Jim) Fan
  5. Josiah Wong
  6. Andy Zeng
  7. Fei Xia
  8. Danfei Xu
  9. Bokui (William) Shen
  10. Chengshu Li

Papers from Roberto Mart'in-Mart'in's perspective

Ordered by how strongly the researchers Roberto Mart'in-Mart'in 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers