Marc Tanti

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Tanti trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. George A. Miller (in Natural Language Processing)
  3. Samuel R. Bowman (in Artificial Intelligence)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. Christopher D. Manning (in Artificial Intelligence)

Papers from Marc Tanti's perspective

Ordered by how strongly the researchers Marc Tanti 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. Long Short-Term Memory
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. ImageNet classification with deep convolutional neural networks
  6. GloVe: Global Vectors for Word Representation
  7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers