Jonathan Malmaud

Artificial Intelligence · 2010–2025

A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Malmaud trusts overall

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

  1. Haonan Yu
  2. S. Branavan
  3. Roger Ratcliff
  4. Luke S. Zettlemoyer
  5. Yoav Artzi
  6. Noah D. Goodman
  7. Jeffrey Mark Siskind
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Jonathan Malmaud overall

  1. Jean-Baptiste Alayrac
  2. Ozan Sener
  3. De-An Huang
  4. Ian Krajbich
  5. Ivan Laptev
  6. Antoine Miech
  7. Antonio Rangel
  8. Luowei Zhou
  9. Tadas Baltrusaitis
  10. Amir Zamir

Papers from Jonathan Malmaud's perspective

Ordered by how strongly the researchers Jonathan Malmaud 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers