Beena Kamath
Management Science and Operations Research · 2006
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 8 citations into it; #3,259 of 11,946 by trust here, #5,548 by citations
- Artificial Intelligence — 7 citations into it
- Information Systems — 5 citations into it; #2,238 of 8,771 by trust here, #4,682 by citations
Whom Beena Kamath trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- William W. Cohen
- Sunita Sarawagi
- Indrajit Bhattacharya
- Andrew Y. Ng
- Sheila Tejada
- Anil K. Jain
- AnHai Doan
- Hanna M. Pasula
- Michael I. Jordan
Who trusts Beena Kamath overall
- Peter Christen
- Ihab F. Ilyas
- Felix Naumann
- Axel-Cyrille Ngonga Ngomo
- Giorgio Patrini
- Hila Becker
- Steven Euijong Whang
Papers from Beena Kamath's perspective
Ordered by how strongly the researchers Beena Kamath trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Efficient clustering of high-dimensional data sets with application to reference matching (Knowledge Discovery and Data Mining)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Adaptive Blocking: Learning to Scale Up Record Linkage (2006) — 284 citations