Joseph M. Antognini

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph M. Antognini trusts overall

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

  1. S. Naoz
  2. Y. Lithwick
  3. T. Thompson
  4. D. Fabrycky
  5. LinQing Wen
  6. Yanqin WuNorm Murray
  7. H. Perets
  8. F. Antonini
  9. Geoffrey E. Hinton
  10. O. Blaes

Who trusts Joseph M. Antognini overall

  1. S. Naoz
  2. Bao-Minh Hoang
  3. G. Fragione
  4. F. Antonini
  5. B. Kocsis
  6. E. Grishin
  7. C. Petrovich
  8. S. Toonen
  9. F. Rasio
  10. N. Leigh

Papers from Joseph M. Antognini's perspective

Ordered by how strongly the researchers Joseph M. Antognini 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers