Kevin Martin Jose

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Martin Jose trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jamie Callan (in Information Retrieval & Search)
  3. Jimmy Ba (in Artificial Intelligence)
  4. Zhuyun Dai (in Artificial Intelligence)

Papers from Kevin Martin Jose's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Learning deep structured semantic models for web search using clickthrough data
  3. Attention is All you Need (Neural Information Processing Systems)
  4. End-to-End Neural Ad-hoc Ranking with Kernel Pooling
  5. A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
  6. A Deep Relevance Matching Model for Ad-hoc Retrieval
  7. Long Short-Term Memory
  8. Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search
  9. Learning to Match using Local and Distributed Representations of Text for Web Search
  10. ImageNet classification with deep convolutional neural networks

Their papers