David Buffoni

Artificial Intelligence · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom David Buffoni trusts overall

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

  1. Tong Zhang
  2. Olivier Chapelle
  3. Thorsten Joachims
  4. David Cossock
  5. Jun Xu
  6. Weiwei Cheng
  7. Fen Xia
  8. Tie-Yan Liu
  9. Hang Li
  10. Yisong Yue

Who trusts David Buffoni overall

  1. Jason Aaron Edward Weston
  2. Harish Guruprasad Ramaswamy
  3. Shivani Agarwal
  4. Maksim Lapin
  5. Yongqin Xian
  6. Kirill Struminsky
  7. Bernt Schiele
  8. Zeynep Akata
  9. Anton Osokin
  10. Simon Lacoste-Julien

Papers from David Buffoni's perspective

Ordered by how strongly the researchers David Buffoni trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers