Jayant Madhavan

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 15 papers; trusts 41 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Jayant Madhavan trusts overall

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

  1. Alon Y. Halevy
  2. AnHai Doan
  3. Philip A. Bernstein
  4. Erhard Rahm
  5. Pedro M. Domingos
  6. Kai Ming Ting
  7. Maurizio Lenzerini
  8. Renée J. Miller
  9. Hong Hai Do
  10. Ian H. Witten

Who trusts Jayant Madhavan overall

  1. Pavel Shvaiko
  2. Jérôme Euzenat
  3. Alon Y. Halevy
  4. Philip A. Bernstein
  5. Hong Hai Do
  6. Erhard Rahm
  7. Natasha Noy
  8. Fausto Giunchiglia
  9. Mohamed Yakout
  10. Michael J. Cafarella

Papers from Jayant Madhavan's perspective

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

  1. Reconciling schemas of disparate data sources: a machine-learning approach (ACM SIGMOD Conference)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Data integration: a theoretical perspective (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
  7. A survey of approaches to automatic schema matching (The VLDB journal)
  8. Gradient-based learning applied to document recognition
  9. ImageNet classification with deep convolutional neural networks
  10. Learning to map between ontologies on the semantic web (The Web Conference)

Their papers