Mark D. M. Leiserson

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 9 papers; trusts 5 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Mark D. M. Leiserson trusts overall

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

  1. Giovanni Ciriello
  2. Tomas Mikolov
  3. Alexandra Chouldechova
  4. Craig H. Mermel
  5. Richard A. Berk
  6. Rasool Fakoor
  7. Moritz Hardt

Who trusts Mark D. M. Leiserson overall

  1. Dana Pessach
  2. Wei Zhang
  3. Daniel Alabi
  4. David Rozado
  5. Luca Oneto

Papers from Mark D. M. Leiserson's perspective

Ordered by how strongly the researchers Mark D. M. Leiserson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. GloVe: Global Vectors for Word Representation
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Equality of Opportunity in Supervised Learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers